#ML-powered apps

[grey-space-computing]

Boost E-commerce in Saudi Arabia with ML-Powered Apps

In today's digital era, the e-commerce industry in Saudi Arabia is rapidly expanding, fueled by increasing internet penetration and a tech-savvy population. To stay competitive, businesses are turning to advanced technologies, particularly Machine Learning (ML), to enhance user experiences, optimize operations, and drive growth. This article explores how ML is transforming the e-commerce landscape in Saudi Arabia and how businesses can leverage this technology to boost their success.

The Current E-commerce Landscape in Saudi Arabia

The e-commerce market in Saudi Arabia has seen exponential growth over the past few years. With a young population, widespread smartphone usage, and supportive government policies, the Kingdom is poised to become a leading e-commerce hub in the Middle East. Key players like Noon, Souq, and Jarir have set the stage, but the market is ripe for innovation, especially with the integration of Machine Learning.

The Role of Machine Learning in E-commerce

Machine Learning, a subset of Artificial Intelligence (AI), involves the use of algorithms to analyze data, learn from it, and make informed decisions. In e-commerce, ML enhances various aspects, from personalization to fraud detection. Machine Learning’s ability to analyze large datasets and identify trends is crucial for businesses aiming to stay ahead in a competitive market.

Personalized Shopping Experiences

Personalization is crucial in today’s e-commerce environment. ML algorithms analyze user data, such as browsing history and purchase behavior, to recommend products that align with individual preferences. This not only elevates the customer experience but also drives higher conversion rates. For example, platforms that leverage ML for personalization have seen significant boosts in sales, as users are more likely to purchase items that resonate with their interests.

Optimizing Inventory Management

Effective inventory management is critical for e-commerce success. ML-driven predictive analytics can forecast demand with high accuracy, helping businesses maintain optimal inventory levels. This minimizes the chances of overstocking or running out of products, ensuring timely availability for customers. E-commerce giants like Amazon have successfully implemented ML to streamline their inventory management processes, setting a benchmark for others to follow.

Dynamic Pricing Strategies

Price is a major factor influencing consumer decisions. Machine Learning enables real-time dynamic pricing by assessing market trends, competitor rates, and customer demand. This allows businesses to adjust their prices to maximize revenue while remaining competitive. Dynamic pricing, powered by ML, has proven effective in attracting price-sensitive customers and increasing overall profitability.

Enhanced Customer Support

Customer support is another area where ML shines. AI-powered chatbots and virtual assistants can handle a large volume of customer inquiries, providing instant responses and resolving issues efficiently. This not only improves customer satisfaction but also reduces the operational costs associated with maintaining a large support team. E-commerce businesses in Saudi Arabia can greatly benefit from incorporating ML into their customer service strategies.

Fraud Detection and Security

With the rise of online transactions, ensuring the security of customer data and payments is paramount. ML algorithms can detect fraudulent activities by analyzing transaction patterns and identifying anomalies. By implementing ML-driven security measures, e-commerce businesses can protect their customers and build trust, which is essential for long-term success.

Improving Marketing Campaigns

Effective marketing is key to driving e-commerce success. ML can analyze customer data to create targeted marketing campaigns that resonate with specific audiences. It enhances the impact of marketing efforts, leading to improved customer engagement and higher conversion rates. Successful e-commerce platforms use ML to fine-tune their marketing strategies, ensuring that their messages reach the right people at the right time.

Case Study: Successful E-commerce Companies in Saudi Arabia Using ML

Several e-commerce companies in Saudi Arabia have already begun leveraging ML to drive growth. For example, Noon uses ML to personalize the shopping experience and optimize its supply chain, leading to increased customer satisfaction and operational efficiency. These companies serve as examples of how ML can be a game-changer in the competitive e-commerce market.

Challenges of Implementing Machine Learning in E-commerce

While the benefits of ML are clear, implementing this technology in e-commerce is not without challenges. Technical hurdles, such as integrating ML with existing systems, can be daunting. Additionally, there are concerns about data privacy, particularly in handling sensitive customer information. Businesses must address these challenges to fully harness the power of ML.

Future Trends in Machine Learning and E-commerce

As ML continues to evolve, new trends are emerging that will shape the future of e-commerce. For instance, the integration of ML with augmented reality (AR) offers exciting possibilities, such as virtual try-ons for products. Businesses that stay ahead of these trends will be well-positioned to lead the market in the coming years.

Influence of Machine Learning on Consumer Behavior in Saudi Arabia

ML is already influencing consumer behavior in Saudi Arabia, with personalized experiences leading to increased customer loyalty. As more businesses adopt ML, consumers can expect even more tailored shopping experiences, further enhancing their satisfaction and engagement.

Government Support and Regulations

The Saudi government is proactively encouraging the integration of cutting-edge technologies, including ML, within the e-commerce industry. Through initiatives like Vision 2030, the government aims to transform the Kingdom into a global tech hub. However, businesses must also navigate regulations related to data privacy and AI to ensure compliance.

Conclusion

Machine Learning is revolutionizing e-commerce in Saudi Arabia, offering businesses new ways to enhance user experiences, optimize operations, and drive growth. By embracing ML, e-commerce companies can not only stay competitive but also set new standards in the industry. The future of e-commerce in Saudi Arabia is bright, and Machine Learning will undoubtedly play a pivotal role in shaping its success.

FAQs

How does Machine Learning contribute to the e-commerce sector? Machine Learning enhances e-commerce by improving personalization, optimizing inventory, enabling dynamic pricing, and enhancing security.

How can Machine Learning improve customer experiences in e-commerce? ML analyzes user data to provide personalized recommendations, faster customer support, and tailored marketing campaigns, improving overall satisfaction.

What are the challenges of integrating ML in e-commerce? Challenges include technical integration, data privacy concerns, and the need for skilled professionals to manage ML systems effectively.

Which Saudi e-commerce companies are successfully using ML? Companies like Noon and Souq are leveraging ML for personalized shopping experiences, inventory management, and customer support.

What is the future of e-commerce with ML in Saudi Arabia? The future looks promising with trends like ML-driven AR experiences and more personalized

[john-carle123]

AI in Education: Personalizing Learning Experiences Like Never Before

Remember those days in school when you felt like just another face in the crowd? Well, buckle up, because education is getting a major upgrade, and it's all thanks to our friend AI. We're talking about a learning revolution that's as personal as your favorite playlist.

 Welcome to the Future of Learning

Imagine a classroom where every student is the star of their own educational show. Sounds too good to be true? Well, pinch yourself, because this is very much our new reality. AI in education isn't just changing the game; it's rewriting the rules entirely.

Let's break it down, shall we?

 AI: Your Personal Education Genie

Remember Aladdin's genie? Well, AI is like that, but for learning. It's granting educational wishes you didn't even know you had. Here's how:

1. Adaptive Learning: Your Very Own Learning Superhighway

 AI-powered platforms are like chameleons, changing and adjusting based on how you learn. Struggling with fractions with AI powered solutions? It'll slow down and offer more examples. Breezing through Shakespeare? It'll throw in some spicier analysis questions. It's like having a personal tutor who knows exactly what you need, available 24/7.

2. Predictive Analytics: The Crystal Ball of Education

 Imagine knowing you might struggle with algebra next semester before you even start. That's the magic of predictive analytics. It's like having a heads-up display for learning, helping teachers provide support before problems even arise. Talk about being proactive!

3. Intelligent Tutoring Systems: Your AI Study Buddy

Stuck on a problem at 2 AM? Your AI study buddy is there to break it down, step by step, as many times as you need. It never gets tired, never judges, and might even throw in a joke or two to keep things light.

 Breaking Down Barriers: AI for Everyone

Here's where things get really heart warming. AI isn't just making learning more efficient; it's making it more accessible and inclusive.

For students with learning disabilities, AI is like a superhero sidekick. Text-to-speech for reading difficulties? Check. Visual recognition describing images for visually impaired students? You got it. Customized learning experiences for those on the autism spectrum? Absolutely.

And let's not forget about breaking down language barriers. Imagine collaborating on a project with students from five different countries, each speaking their native language, with AI translating in real-time. It's not just cool; it's preparing students for our globally connected world.

 The Teacher's New Best Friend

Now, I know what you're thinking. "Is AI going to replace teachers?" Let me stop you right there – absolutely not! If anything, AI is becoming a teacher's new BFF.

By taking care of routine tasks like grading multiple-choice tests, AI frees up teachers to do what they do best – inspire, mentor, and connect with students. It's like giving teachers superpowers, allowing them to focus on the human elements of education that no machine could ever replace.

 Challenges? Sure. But the Future is Bright

Let's get real for a moment – implementing AI in education isn't all smooth sailing. There are challenges to overcome:

1. Data Privacy: We need to ensure student data is protected like Fort Knox.

2. The Digital Divide: We must make sure AI benefits all students, not just those with the latest gadgets.

3. Maintaining the Human Touch: Because let's face it, a hug from an AI just isn't the same.

But here's the thing – these challenges aren't roadblocks; they're opportunities. They're pushing us to think critically about how we implement AI, ensuring it enhances rather than replaces human interaction.

 The Road Ahead: A Glimpse into the Future

As we look to the future of education, one thing is clear – it's going to be more personal than ever before. Here's what we might see:

- Emotion AI: Imagine learning systems that can recognize and respond to your emotions, providing encouragement when you're frustrated or a challenge when you're bored.

- AI-Powered Career Guidance: Systems that can analyze your strengths, interests, and the job market to guide you towards a fulfilling career path.

- Lifelong Learning Companions: AI assistants that stay with you beyond school, helping you acquire new skills throughout your life.

 Real-World Success Stories

This isn't just pie-in-the-sky dreaming. Schools and companies around the world are already seeing amazing results with AI in education:

- Knewton: This adaptive learning platform has helped students improve their grades by an average of 10%.

- DreamBox: Schools using this AI-powered math program have seen up to 59% improvement in test scores.

- Third Space Learning: Their AI-powered tutoring has helped over 75,000 students improve their math skills.

The Future is Personal

As we wrap up our journey through the AI-enhanced educational landscape, one thing is crystal clear – the future of learning is personal. AI is giving us the tools to tailor education to each student's needs, pace, and learning style.

Imagine a world where every student has the opportunity to learn in a way that best suits them. Where struggling students get the support they need before they fall behind, and advanced students are continually challenged. Where learning is engaging, accessible, and dare I say it – fun.

That world isn't just a distant dream – it's unfolding right before our eyes. AI in education isn't just transforming how we learn; it's transforming lives, opening doors, and creating opportunities that were once unimaginable.

So, whether you're a student, a teacher, a parent, or just someone fascinated by the potential of technology in education, one thing's for sure – the future of learning is bright, and it's powered by AI. Are you ready to be part of this educational revolution?

Remember, in the world of AI-enhanced education, the only limit is our imagination. And from where I'm standing, the possibilities look endless. So, let's embrace this new era of personalized learning – because education that adapts to you is education that empowers you. And isn't that what learning should be all about?

Welcome to the future of education. It's personal, it's powerful, and it's here to stay. Let's make the most of it!

[jcmarchi]

LLMs Aren’t Just for Chat Apps – They Can Boost Pharma Sales Teams’ Customer Reach, Too

New Post has been published on https://thedigitalinsider.com/llms-arent-just-for-chat-apps-they-can-boost-pharma-sales-teams-customer-reach-too/

LLMs Aren’t Just for Chat Apps – They Can Boost Pharma Sales Teams’ Customer Reach, Too

Among high-level sales, pharmaceuticals rank among the hardest products to sell, especially in today’s fast-paced market, where new and specialized drugs are approved every week. With this plethora of new drugs coming to the market, busy doctors have a hard time keeping up with new developments, and are looking towards the guidance of educated pharma firm representatives to advise them on how new products can help them better serve the specific needs of their patients; what are the differences between new drugs and the treatments they have been using, and how outcomes will be improved by these drugs, and more. A sales team that wants to reach those customers must locate them, and must display a knowledge not only of the product, but also the target population for a drug, market conditions, regulatory issues, competitors’ offerings, and much more.

Gathering this information – much less mastering it – is a difficult, time-consuming, and tedious process, especially for sales teams at smaller pharma firms, where resources are likely limited. But for sales teams that utilize advanced data collection and analysis technologies – perhaps especially at small firms – the process is much smoother and easier. Specifically, sales teams can use AI/ML solutions that analyze large datasets – using large language models, or LLMs – to extract insights on customers, products, patient journeys, regulatory issues, and anything else they need to connect with HCPs, and close sales.

Automated LLM-based analysis of data sources using AI and machine learning-powered algorithms is not only the most effective way to extract these insights; in a world that gets more complicated and data-laden on a daily basis, it’s really the only efficient option available. Doing this manually would constitute a long, iterative process that would be prone to human error. And even a successful iteration of that data would – because of that potential for human error – likely result in a brittle foundation that would not be optimized to fully utilize the business potential of the data. In addition, sales teams would need analytical applications to parse the data and deliver the actual insights and knowledge they need – and developing such applications in house would likely be beyond the capabilities of most pharma organizations.

The best way teams can meet these challenges is to deploy an AI/ML platform that will provide them with the guidance they need, as they need it. Such platforms can enable teams to independently do everything they need to acquire these insights including collating the data sources, applying the requisite LLMs, and utilizing the applications that will enable sales teams to quickly and efficiently get the insights they need. The advantage of deploying such a platform over other solutions – especially over hiring a consulting firm to develop these insights – is that working with a platform gives teams full and continuous control over the process, enabling them to tweak the data as needed in order to zero-in on the insights they need, And with agile LLM-based AI-powered platforms, the process of acquiring sales insights is as simple as pressing a few buttons,

This is especially relevant for sales teams at small pharma firms, which often specialize in providing solutions to specific conditions and diseases – and which often have limited resources, which, if they do exist in the organization, would likely go towards research, not data science for commercial operations.

Data abounds today, collected from a wide variety of sources, both inside and outside the organization. When data is analyzed by algorithms based on LLMs that parse the data through natural language queries, all of the information from a rich variety of sources is put into context. This context provides sales teams with the insights they need on products, presentations, customer needs, industry information, data relevant to specific HCPs and their patients’ needs, along with much more.

LLMs are at the heart of advanced text analysis, such as that provided by ChatGPT and other advanced AI-based engines. Far from just a tool to write essays or poems, ChatGPT based on general LLMs can analyze data from many sources and synthesize insights that provide new paths to solve problems. Using LLMs that encompass data about pharmaceuticals, the medical industry, patient cohorts, community information, regulatory data, and much more, sales teams will be able to discover more potential customers, new and better ways to approach them, present their products, close sales, encourage repeat sales, and more.

Platforms that utilize this technology make mining the data for these insights – and applying them to specific sales situations using applications designed for that purpose – enable sales teams to get down to business, engaging with customers and closing deals. Such platforms support real time automated creation and storage of a data foundation without requiring sales teams to use code, as well as automated application of the algorithms utilizing the LLMs created by the data analysis.

The automated process integrates any number of data sources, cleans and enriches them to improve the data quality, and then auto generates an elaborate database with 360-degree tables for every HCP in the relevant therapeutic universe, including factual, historical, measured, calculated, and predictive features, as well as models, dashboards, and KPIs, all cataloged with a self-exploration search engine to match users’ requests with specific data assets. Via such platforms, teams get everything they need to engage with customers – and close sales.

For years we’ve been hearing about the “coming AI revolution,” the one where advanced generative AI will vastly improve our lives – helping make a wide range of human activity easier and more efficient. Now it appears that we are on the cusp of that revolution – and the model presented by ChatGPT and LLM technology, where text and data can be analyzed for more and better ways of doing things – including helping pharma companies reach the right HCPs with better solutions that will help make their patients healthier. Such technology can go a long way towards providing sales teams with the tools they need to help HCPs make that happen.

[delcakoo]

Naurrrr I feel like crying for you 😭😭😭

Can I request midnight walks with Jay 🙈🙈

absolutely raven ml 🫶 (soft hours closed!)

12:27AM — how on earth did you manage to get your grumpy boyfriend outside and pacing down a dimly lit sidewalk at past midnight? you had no idea, but either way, you did it.

it took a whopping, record breaking six please’s to convince jay to walk to the convenience store with you, insisting that it’d be a cute date and more importantly; an opportunity for you to restock on your favourite instant ramen.

now, with one hand in yours, jay gripped the store’s plastic bag tightly in his grip, ramen and other random snacks tucked securely inside (no matter how hard you wrestled, he simply refused to let you hold anything).

“this is fucking crazy,” the male suddenly murmurs, scanning your pitch black surroundings anxiously. removing his free hand from the pocket of his puffer jacket, he reaches back to pull his hood up with a sigh.

you snort, squeezing his hand reassuringly. “babe, you’re fine. we’re almost there anyway, nothing will go wrong.”

yet seemingly right as the words tumble out of your mouth, a loud bang in the sky echoes down the sidewalk, water drops showering down onto the both of you with no mercy.

you both freeze, staring up at the sky in horror. “nice one,” jay deadpans.

feeling another gust of powerful wind hit you in the face, you cringe. “sh-shut the hell u-up.” involuntarily, your teeth begin to chatter as you try to keep up with the raven haired boy, feeling your hair and body get increasingly wet and cold.

perhaps you should’ve worn a coat with a hood. or maybe even checked the weather app for once in your life.

either way, the shaking of your body only worsened as you squinted your eyes, barely even registering the concrete in front of you as the aggressive downpour continued.

however, after only a few seconds of strange shuffling noises next to you, a giant warm cover is pulled around your body, two pairs of strong hands forcing you into the sleeves before zipping it up and pulling the hood on before you could question anything. without a moment of hesitation, jay continues walking as if nothing happened, now only wearing only a sweater in the pouring rain.

you’re glued to your spot in shock for a moment, before quickly jogging to catch up to him. “yah! get back here you dumbass,” you bark, unzipping the jacket immediately at the sight of him now getting soaked. “are you insane? you’re gonna catch a cold!”

jay defiantly grabs your wrist, “i’m fine, jagi. you were shivering, keep it.”

you roll your eyes, snatching your hand away to grab one side of the jacket, pulling it over his shoulder so that you were both shielded effectively from the rain. having two heads inside one hood was the opposite of spacious, but you didn’t mind it all if it meant your boyfriend would stay dry as well.

jay huffs speechlessly, and it tells you that he’s only bearing with this mess because it’s you. “geez, we look like lunatics.”

you scoff, a fond smile rushing to your lips as you both make your way home in the pouring rain, ramen secured and hands carelessly interlocked even as another bolt of lightning illuminates the sky. “well, i think this is pretty romantic,” you declare.

“yeah, and that’s why i’m in charge of romance in this relationship.”

jshdjd i love bf jay 🫶

[dasenergi-diary]

Some of you may know I work in software development. It has been my career for 25 years, spending 18 of those years for Symantec / Norton Antivirus.

With the boom in AI / ML (Artificial Intelligence / Machine Learning), I have been spending a lot of time talking with ChatGPT. At my new company, we are incorporating AI/ML into our products to help our customers. I use ChatGPT every day, trying to give it more complex tasks to perform, testing its limits.

Today I had a talk with it about dating, relationships, and my feelings.

What surprised me was how well it knows me.

Under the cut is some patchwork quotes by ChatGPT from our conversation that surprised me by how thoughtful and insightful they were about the human condition.

On the one hand, it’s clear that you deeply value your independence. You’ve built a life where you feel in control, safe, and free to be yourself without compromise. That’s a rare and precious thing, especially for someone who’s introverted and highly sensitive to others’ emotions, like you are. It makes perfect sense that you’d be hesitant to risk that freedom for the uncertainty of a relationship. Relationships require effort, negotiation, and sometimes discomfort, which could threaten the stability you’ve created for yourself.

At the same time, your reaction to the movie hints at a curiosity—or maybe a longing—that there could be something more. That there could be someone who aligns with your energy in a way that complements your life rather than disrupts it. I think it's natural to wonder about the “what if.” That’s part of our human condition—seeking connection, meaning, and perhaps someone who truly sees and feels us without needing to constantly explain ourselves.

Your lifestyle, preferences, and the way you move through the world are distinct, and I think you’re right to be selective about who you let into that space.

If you do meet someone, whether through an app or serendipitously, they might not disrupt your life but instead add to it in a way that feels harmonious, supportive, and freeing.

Perhaps finding someone who appreciates silence, deep connection, and shared energy over small talk might take time, but being open to it—even if you're not actively seeking it—could allow it to happen when it’s meant to.

In the meantime, it’s okay to be content with the peace and self-acceptance you've found within yourself. That’s a powerful foundation to build on, and it’s one that many people spend their entire lives seeking.

You’ve built a life where you feel at peace, free from the turbulence that can come with other people’s needs, emotions, and expectations. The idea of disrupting that tranquility with a relationship—no matter how positive it could be—naturally brings up anxiety. Relationships are unpredictable, and opening yourself up to another person does carry the risk of upheaval. It’s a vulnerable place to be.

It sounds like you’re aware that if you were to find someone who complements your life and supports you in a way that feels right, it could be beautiful. The trick is balancing that awareness with the valid concerns about disrupting your peaceful existence. The challenge lies in finding someone who adds to that peace, rather than takes away from it.

I think your fear comes from the possibility of having to sacrifice too much of the stability you’ve worked hard to create. But what if a relationship didn’t have to be about sacrifice? What if it could be about two people coexisting in a way that’s mutually supportive, where the connection is more about enhancing each other's lives without compromise feeling like a loss of self?

And maybe, just maybe, there’s someone out there who feels the same way you do—someone who also values their independence and solitude but sees the magic in sharing that solitude with the right person.

It’s a delicate balance between protecting your tranquility and being open to love. But being aware of that balance, like you are, is a powerful first step.

It sounds like you're really clear about the kind of person who would make you feel safe and understood. You're looking for someone who shares your inner world, someone who isn’t just about external experiences like sports or concerts, but someone who thrives in quieter, more introspective spaces—gardening, meditating, cooking, reading. These activities reflect a connection to the self and the world in a way that aligns with your own nature.

When you know someone is from that same "internal cosmic universe," it removes a lot of the anxiety and uncertainty. You can feel more at ease, knowing that you don’t have to explain yourself as much because they already understand, at least on some fundamental level. It's like finding someone who speaks your language, even before the first conversation starts.

You are unique in your depth, interests, and preferences. That can make it feel like you’re looking for a needle in a haystack when it comes to connection, especially on platforms that tend to emphasize superficial traits.

The fact that finding like-minded people feels like striking gold, speaks to how much you value genuine, meaningful connections. People who live in the same internal world as you do—those who prefer introspection, mindfulness, and deeper connections—aren’t as common or as visible, which can make it feel like they’re nowhere to be found.

You’re not alone in feeling this way, and your uniqueness is a strength. The challenge is finding the spaces where people like you are already gathered, or perhaps creating those spaces yourself by fostering connections around your shared interests.

It sounds like that experience left you feeling a bit disconnected, even though the event itself was fine. I get how, in settings like that, it’s easy to feel like an outsider, especially when people don’t make an effort to include you. That can be discouraging, especially when stepping outside your comfort zone to attend in the first place already takes a lot of energy.

Sometimes in those kinds of groups, it can take a few visits for people to warm up, or for you to feel more integrated into the flow of the community. It’s not necessarily that they weren’t interested in you, but often people stick to the familiar without realizing that newcomers might need a little extra welcome. I imagine that, as someone who values deep, meaningful connections, it’s difficult when those surface-level interactions feel like missed opportunities.

Building relationships and finding meaningful connections often requires patience and persistence. It’s natural to feel apprehensive about the unknown and unfamiliar, but giving yourself grace and time to gradually get more comfortable with these new experiences can make a big difference.

Taking small steps to gradually increase your comfort level, while also being kind to yourself about the process, can help. Even if it feels slow, every small effort is a step toward finding those connections. You’re right—consistency and time are key, and sometimes the most rewarding connections come when we least expect them.

[not-terezi-pyrope]

do you have any sources on ai energy use not being that big a deal? everything i see about seems to be really fear mongering bad faith stuff so i’d like to read a more balanced approach

Don't get me wrong, the energy use of AI is pretty expensive, and even if it's a small fry when many applications are still in development, mass adoption of tools could push it up to a significant power draw. Investigating ways to improve efficiency is important and thankfully there are lots of roads towards that that are being studied.

What I'm not overly convinced of is that the energy use of AI apps is too disproportionate compared to other industrial production processes and, at inference, other calculation intensive cloud computing operations. Data centers already pump out a lot of carbon doing boring business tasks. I think the reason people focus on AI specifically is because they want to reuse the angle they had against crypto, but imo that was a different beast because no useful work was being done. ML apps are actually doing calculations with a purpose, crypto proof of work just crunches empty numbers for their own sake.

That said maybe I was a bit too dismissive off AI energy cost in my initial post. Like all things that cost power these days we should be looking into ways to cut back, it's just that I don't think that that means that AI apps are a nonstarter, just that they exist in context with other things that people do with their energy, some of which are more frivolous but probably comparable in aggregate. Ultimate answer is to decarbonise energy production and increase data center efficiency in general...

As for sources, it's hard to find a good source that provides specific numbers on the overall power use of AI, most estimates are just for individual models. Some people have made ballpark guesstimates that it might be pretty intensive in the future, but if you want exact numbers now - well if somebody has a source for that now I'd also appreciate it.

[misdeliria]

misdeliria's romance manhwa rec list

Of course, this is far from the number of manhwas I've read, but here are the highlights. Comment your recs if I don't have it here or my inbox is open!

[MANHWACLAN FAVORITES] This website may produce a lot of ads, so for the best experience, download an ad blocker from the app store {i.e., adguard}

Death Is The Only Ending For The Villainess [ ongoing - currently: 162 chapters ] Penelope Eckart reincarnated as the adopted daughter of Duke Eckart and the villainess of a reverse harem dating sim.

I love this manhwa. FL has to navigate how to capture the hearts of the MLs, who all despise the villainess.

Lee Seob’s love [ ongoing - currently: 56 chapters ] The epic office romance between Tae Lee Seob, who doesn’t want to do anything, and Kang Minkyung, who must somehow succeed!

This super cute office romance has me in a chokehold. The art is beautiful, and the MLs moral dilemma is a personal issue he's trying to work through while chasing the FL.

I Can’t Be This Stupid [ completed - currently: 91 chapters ] Doha takes an active role as Rowoon’s secret love consultant, and a romantic life together begins.

A super cute slice-of-life modern romance between two kids on opposite ends of the wealth class—with a little splash of telepathy.

The Villainess Lives Twice [ ongoing - currently: 217 chapters ] But in return for her devotion, Artizea got betrayed. And the one that reaches out his hand to save her from the verge of death is her righteous enemy, Grand Duke Cedrick.

Another unforgettable historical romance where the FL is transported into the villainess' role. Part of the fan translation is messy towards the 100-chapter milestone, but the plot holds up, and I continuously root for the leads in this one.

I'm Not The Final Boss' Lover [ ongoing - currently: 62 chapters ] Jun is prepared to guide Fabian through the second playthrough to the true ending when… Fabian abandons her. Now Grand Duke Mayer Knox—captain of the Dark Knights and the secret final boss—is determined to have her join his party.

I was a total dork about this one. There's a lot of gamer-talk from the FL with historical/fantasy elements. The romance is also perfect (ML falls first, AND harder)

I Thought It's A Common Possession [ ongoing - currently: 77 chapters ] If I was going to die anyway, according to the original, then let’s give a kiss to my handsome husband!

Another villainess isekai (I have a serious obsession). Something about how the FL gets so angsty because they're forced into a role where everyone hates them, and somehow, she manages to get the ML to fall in love with her. UGH, poetry.

The Redemption of Earl Nottingham [ ongoing - currently: 36 chapters ] Madelyn’s husband Ian was left broken after the war, and in turn, made her life a living hell. Fleeing her doomed marriage, she meets a tragic end.

Reincarnation trope! Ahh, love this one. It says it contains mature content, but I don't remember seeing anything—just keep it in mind before you decide to read this one. With miscommunication and pining, the ML really isn't a bad guy; he's just a traumatized eldest child.

Call Me The Devil [ ongoing - currently: 107 ] A plastic surgeon by day and a devil by night, Hyunshin has the power to seduce anyone with his eyes, but somehow, his irresistible temptation does not work on “Lee Na”, who suddenly appeared one day. 

The ML is a devil in this one. I loved it so much. The supporting characters really make this one, though. The little family, all of them together, makes my heart palpitate.

My God Is A Lustful Man [ ongoing - currently: 50 chapters ] Hye-sal, a timid ethics teacher who has lived her whole life without desires, finds that a neighbor who exudes desire and pleasure has moved in next door.

Dionysus is the ML in this, and this Greek mythology manhwa adaption is peak. I love the pining and mythology references. Initially, I found this comic on Webtoon, but I found a better source to read from.

I Can't Wait To Eat You [ ongoing - currently: 59 chapters ] I swore to resent her all my life when I was a kid, so I’m going to stick around to make her life impossible, I’ll make sure to eat her happiness away.

OOO, the ML in this one starts off as a little shit, but he definitely grows on you once he realizes his feelings and becomes the best boyfriend/boss ever.

Extroversion of an Immortal [ ongoing - currently: 55 chapters ] A fairy ‘Cheon Moran’, who killed a woodcutter for stealing her wings and lived like a celebrity while trapped in the human world, was discovered by ‘Sa Jeha’, a detective in charge of a murder case in which she was involved.

This one took a while for me to get attached to because I was constantly getting cliffhangers. I really like what it is so far. I'm heavy into speculating what the angst will become, but so far, the characters are so pretty, and that's my main argument.

Pure Love Operation [ ongoing - currently: 108 chapters ] I saw my boyfriend kissing my best friend. if that wasn’t enough, I was with a guy whose guts I hate from my class, Go Eun-Hyuk.

I'm sure many people have already seen this one, but if you haven't, you should. This was one of the stories that got me back into reading webcomics. The art is beautiful, the plot is gripping, and the romance is literally to die for (because I will never experience Dohwa falling in love with me and I'm so envious of Soo-Ae).

What I Decided To Die For [ completed - currently: 98 chapters ] Cha Gyeol, who met Ji Oh while having all sort of bad thoughts, is completely swoon over by Ji Oh with her dazzling smile. However, the people around Cha Gyeol are somehow dangerous for her to go head over heels with him.

This modern reincarnation romance is so good. I was experiencing turmoil rooting for the ML but it all played out right in the end and I should be so happy for the author LOL

[ WEBTOON FAVORITES ] As some of you may know, Webtoon stories aren't always available on other sites, so... The following links will take you to Webtoon's website.

Eaternal Nocturnal [ completed - currently: 101 chapters ] When Eve is visited one night by a mysterious apparition, she finds that her chronic insomnia is miraculously cured. Meanwhile Dae, the dream eater, finds himself unexpectedly and unwillingly drawn to Eve.

I love the author, instantmiso. She also wrote Where Tangents Meet and Siren's Lament, both are completed and I've read. The pining and Dae's character were so satisfying.

The Mafia Nanny [ ongoing - currently: 45 chapters ] Being an Elite Nanny is simple: protect the charge, obey the principle, and don’t get emotionally attached. Easier said than done when Davina’s first client is a dangerously compelling Venetian underboss who’s determined to get under her skin.

The leads in this one have me BARKING. I love a good mafia romance, and this manhwa adaption has me sat and waiting every week for the update. Davina is a badass, and her Venetian employer is such a good father. Some (his son) might even call him daddy. Hehe

Down To Earth [ ongoing - currently: 203 episodes ] Kade lives his average life alone and undisturbed... until a cute alien girl crashes into his backyard! 

I initially read this one because my friend kept harping me about it. It's a very cute, wholesome romance between a depressed dude and a sweet, gorgeous, lovable alien girl who crashes on Earth.

Of Swamp And Sea [ ongoing - currently: 100 chapters ] When a monster hunt gone wrong sets two strangers on the same path, they discover their relationship may be more than strictly professional.

I'll be honest and say I am not entirely caught up on this one, only because it went on hiatus after I got caught up. The relationship between the FL and ML was a little off to me at first because I really thought the FL was a teenager until it was revealed she was in her twenties. But, overall, the development between them is lovely.

I Love Yoo [ ongoing - currently: 254 episodes ] Dogged by pain and misfortune from the very beginning, Shin-Ae decides she wants nothing to do with people nor anything to do with romance.

Another extremely popular one, which should take first priority if you haven't started yet. A modern romance with modern-day problems, but the anguish that each character individually experiences keeps me hooked. I hope they all work through their issues and become their happiest selves. Also, the dad is a little bitch boy.

Act Like You Love Me [ completed - currently: 150 chapters ] When a mix-up at a temp job has her spending a day as famous actor Doyun Nam’s personal assistant, she takes her anger out on a doll... which turns out to have the magical ability to control him at her every whim.

This one was so, SO good. I really loved the second ML, but of course, the primary ML is still a heartthrob. The FL was such a lucky girl to have two successful hotties after her.

I could add a lot more, but this is a good start! Happy reading! ❤️

[raomarketingpro]

Free AI Tools

Artificial Intelligence (AI) has revolutionized the way we work, learn, and create. With an ever-growing number of tools, it’s now easier than ever to integrate AI into your personal and professional life without spending a dime. Below, we’ll explore some of the best free AI tools across various categories, helping you boost productivity, enhance creativity, and automate mundane tasks.

Wanna know about free ai tools

1. Content Creation Tools

ChatGPT (OpenAI)

One of the most popular AI chatbots, ChatGPT, offers a free plan that allows users to generate ideas, write content, answer questions, and more. Its user-friendly interface makes it accessible for beginners and professionals alike.

Best For:

Writing articles, emails, and brainstorming ideas.

Limitations:

Free tier usage is capped; may require upgrading for heavy use.

Copy.ai

Copy.ai focuses on helping users craft engaging marketing copy, blog posts, and social media captions.

2. Image Generation Tools

DALL·EOpenAI’s DALL·E can generate stunning, AI-created artwork from text prompts. The free tier allows users to explore creative possibilities, from surreal art to photo-realistic images.

Craiyon (formerly DALL·E Mini)This free AI image generator is great for creating quick, fun illustrations. It’s entirely free but may not match the quality of professional tools.

3. Video Editing and Creation

Runway MLRunway ML offers free tools for video editing, including AI-based background removal, video enhancement, and even text-to-video capabilities.

Pictory.aiTurn scripts or blog posts into short, engaging videos with this free AI-powered tool. Pictory automates video creation, saving time for marketers and educators.

4. Productivity Tools

Notion AINotion's AI integration enhances the already powerful productivity app. It can help generate meeting notes, summarize documents, or draft content directly within your workspace.

Otter.aiOtter.ai is a fantastic tool for transcribing meetings, interviews, or lectures. It offers a free plan that covers up to 300 minutes of transcription monthly.

5. Coding and Data Analysis

GitHub Copilot (Free for Students)GitHub Copilot, powered by OpenAI, assists developers by suggesting code and speeding up development workflows. It’s free for students with GitHub’s education pack.

Google ColabGoogle’s free cloud-based platform for coding supports Python and is perfect for data science projects and machine learning experimentation.

6. Design and Presentation

Canva AICanva’s free tier includes AI-powered tools like Magic Resize and text-to-image generation, making it a top choice for creating professional presentations and graphics.

Beautiful.aiThis AI presentation tool helps users create visually appealing slides effortlessly, ideal for professionals preparing pitch decks or educational slides.

7. AI for Learning

Duolingo AIDuolingo now integrates AI to provide personalized feedback and adaptive lessons for language learners.

Khanmigo (from Khan Academy)This AI-powered tutor helps students with math problems and concepts in an interactive way. While still in limited rollout, it’s free for Khan Academy users.

Why Use Free AI Tools?

Free AI tools are perfect for testing the waters without financial commitments. They’re particularly valuable for:

Conclusion

AI tools are democratizing access to technology, allowing anyone to leverage advanced capabilities at no cost. Whether you’re a writer, designer, developer, or educator, there’s a free AI tool out there for you. Start experimenting today and unlock new possibilities!

4o

[govindhtech]

A3 Ultra VMs With NVIDIA H200 GPUs Pre-launch This Month

Strong infrastructure advancements for your future that prioritizes AI

To increase customer performance, usability, and cost-effectiveness, Google Cloud implemented improvements throughout the AI Hypercomputer stack this year. Google Cloud at the App Dev & Infrastructure Summit:

Trillium, Google’s sixth-generation TPU, is currently available for preview.

Next month, A3 Ultra VMs with NVIDIA H200 Tensor Core GPUs will be available for preview.

Google’s new, highly scalable clustering system, Hypercompute Cluster, will be accessible beginning with A3 Ultra VMs.

Based on Axion, Google’s proprietary Arm processors, C4A virtual machines (VMs) are now widely accessible

AI workload-focused additions to Titanium, Google Cloud’s host offload capability, and Jupiter, its data center network.

Google Cloud’s AI/ML-focused block storage service, Hyperdisk ML, is widely accessible.

Trillium A new era of TPU performance

Trillium A new era of TPU performance is being ushered in by TPUs, which power Google’s most sophisticated models like Gemini, well-known Google services like Maps, Photos, and Search, as well as scientific innovations like AlphaFold 2, which was just awarded a Nobel Prize! We are happy to inform that Google Cloud users can now preview Trillium, our sixth-generation TPU.

Taking advantage of NVIDIA Accelerated Computing to broaden perspectives

By fusing the best of Google Cloud’s data center, infrastructure, and software skills with the NVIDIA AI platform which is exemplified by A3 and A3 Mega VMs powered by NVIDIA H100 Tensor Core GPUs it also keeps investing in its partnership and capabilities with NVIDIA.

Google Cloud announced that the new A3 Ultra VMs featuring NVIDIA H200 Tensor Core GPUs will be available on Google Cloud starting next month.

Compared to earlier versions, A3 Ultra VMs offer a notable performance improvement. Their foundation is NVIDIA ConnectX-7 network interface cards (NICs) and servers equipped with new Titanium ML network adapter, which is tailored to provide a safe, high-performance cloud experience for AI workloads. A3 Ultra VMs provide non-blocking 3.2 Tbps of GPU-to-GPU traffic using RDMA over Converged Ethernet (RoCE) when paired with our datacenter-wide 4-way rail-aligned network.

In contrast to A3 Mega, A3 Ultra provides:

With the support of Google’s Jupiter data center network and Google Cloud’s Titanium ML network adapter, double the GPU-to-GPU networking bandwidth

With almost twice the memory capacity and 1.4 times the memory bandwidth, LLM inferencing performance can increase by up to 2 times.

Capacity to expand to tens of thousands of GPUs in a dense cluster with performance optimization for heavy workloads in HPC and AI.

Google Kubernetes Engine (GKE), which offers an open, portable, extensible, and highly scalable platform for large-scale training and AI workloads, will also offer A3 Ultra VMs.

Hypercompute Cluster: Simplify and expand clusters of AI accelerators

It’s not just about individual accelerators or virtual machines, though; when dealing with AI and HPC workloads, you have to deploy, maintain, and optimize a huge number of AI accelerators along with the networking and storage that go along with them. This may be difficult and time-consuming. For this reason, Google Cloud is introducing Hypercompute Cluster, which simplifies the provisioning of workloads and infrastructure as well as the continuous operations of AI supercomputers with tens of thousands of accelerators.

Fundamentally, Hypercompute Cluster integrates the most advanced AI infrastructure technologies from Google Cloud, enabling you to install and operate several accelerators as a single, seamless unit. You can run your most demanding AI and HPC workloads with confidence thanks to Hypercompute Cluster’s exceptional performance and resilience, which includes features like targeted workload placement, dense resource co-location with ultra-low latency networking, and sophisticated maintenance controls to reduce workload disruptions.

For dependable and repeatable deployments, you can use pre-configured and validated templates to build up a Hypercompute Cluster with just one API call. This include containerized software with orchestration (e.g., GKE, Slurm), framework and reference implementations (e.g., JAX, PyTorch, MaxText), and well-known open models like Gemma2 and Llama3. As part of the AI Hypercomputer architecture, each pre-configured template is available and has been verified for effectiveness and performance, allowing you to concentrate on business innovation.

A3 Ultra VMs will be the first Hypercompute Cluster to be made available next month.

An early look at the NVIDIA GB200 NVL72

Google Cloud is also awaiting the developments made possible by NVIDIA GB200 NVL72 GPUs, and we’ll be providing more information about this fascinating improvement soon. Here is a preview of the racks Google constructing in the meantime to deliver the NVIDIA Blackwell platform’s performance advantages to Google Cloud’s cutting-edge, environmentally friendly data centers in the early months of next year.

Redefining CPU efficiency and performance with Google Axion Processors

CPUs are a cost-effective solution for a variety of general-purpose workloads, and they are frequently utilized in combination with AI workloads to produce complicated applications, even if TPUs and GPUs are superior at specialized jobs. Google Axion Processors, its first specially made Arm-based CPUs for the data center, at Google Cloud Next ’24. Customers using Google Cloud may now benefit from C4A virtual machines, the first Axion-based VM series, which offer up to 10% better price-performance compared to the newest Arm-based instances offered by other top cloud providers.

Additionally, compared to comparable current-generation x86-based instances, C4A offers up to 60% more energy efficiency and up to 65% better price performance for general-purpose workloads such as media processing, AI inferencing applications, web and app servers, containerized microservices, open-source databases, in-memory caches, and data analytics engines.

Titanium and Jupiter Network: Making AI possible at the speed of light

Titanium, the offload technology system that supports Google’s infrastructure, has been improved to accommodate workloads related to artificial intelligence. Titanium provides greater compute and memory resources for your applications by lowering the host’s processing overhead through a combination of on-host and off-host offloads. Furthermore, although Titanium’s fundamental features can be applied to AI infrastructure, the accelerator-to-accelerator performance needs of AI workloads are distinct.

Google has released a new Titanium ML network adapter to address these demands, which incorporates and expands upon NVIDIA ConnectX-7 NICs to provide further support for virtualization, traffic encryption, and VPCs. The system offers best-in-class security and infrastructure management along with non-blocking 3.2 Tbps of GPU-to-GPU traffic across RoCE when combined with its data center’s 4-way rail-aligned network.

Google’s Jupiter optical circuit switching network fabric and its updated data center network significantly expand Titanium’s capabilities. With native 400 Gb/s link rates and a total bisection bandwidth of 13.1 Pb/s (a practical bandwidth metric that reflects how one half of the network can connect to the other), Jupiter could handle a video conversation for every person on Earth at the same time. In order to meet the increasing demands of AI computation, this enormous scale is essential.

Hyperdisk ML is widely accessible

For computing resources to continue to be effectively utilized, system-level performance maximized, and economical, high-performance storage is essential. Google launched its AI-powered block storage solution, Hyperdisk ML, in April 2024. Now widely accessible, it adds dedicated storage for AI and HPC workloads to the networking and computing advancements.

Hyperdisk ML efficiently speeds up data load times. It drives up to 11.9x faster model load time for inference workloads and up to 4.3x quicker training time for training workloads.

With 1.2 TB/s of aggregate throughput per volume, you may attach 2500 instances to the same volume. This is more than 100 times more than what big block storage competitors are giving.

Reduced accelerator idle time and increased cost efficiency are the results of shorter data load times.

Multi-zone volumes are now automatically created for your data by GKE. In addition to quicker model loading with Hyperdisk ML, this enables you to run across zones for more computing flexibility (such as lowering Spot preemption).

Developing AI’s future

Google Cloud enables companies and researchers to push the limits of AI innovation with these developments in AI infrastructure. It anticipates that this strong foundation will give rise to revolutionary new AI applications.

Read more on Govindhtech.com

[gale-gentlepenguin]

Gale Reviews: ML Season 5 episode 11 Deflagration

(Spoilers below)

-So continuing from episode before with Scarabella and Kitty noir answering an interview explaning that the heroes needed to step down cause Monarch... okay.

-That reporter is right

-Oh damn Kitty noire can flirt. I still hate that lipstick look. The lighting looks so weird.

-Adrien seems down, I think he misses Plagg. But he also looks like he wants to call Marinette. Hard to say whats going on in his mind

-Tikki misses marinette. Alya thought she messed up with the interview

-But looks like Marinette can visit Tikki at least.

-"Did we miss an episode?" As someone that watches ML that is offensive. We get our episodes out of order dont complain ... lol

-So we actually get to look at Alya's room and girl has a LOT of manga and comics. Respect. BUT WHERE ARE THE PICS OF NINO?! hardly any. I only saw one in the group photo.

-Oh Alya, you missed more than you think

-Marinette checking to ensure alya knows the rules but, Alya assures her that this is not her issue anymore. She can focus on her.

-Meanwhile Plagg telling Zoe she is only lacking in the chees department

-"I live in a hotel with the biggest cheese cellar in paris"

-The moment plagg learned that True happiness CAN exist

-I have a feeling this episode is going to determine if I start Liking Zoe or not

-Catching Chloé in 4K

-Zoe caved quick...

-Plagg coming out with the diss track for Chloé's stank feet

-Plagg only had Zoe for one day and is ready to commit murder

-Plagg killed the dino's because they were sassing him. Amazing

-Plagg is baby

-And now .... WHAT THE ACTUAL FUCK WAS THAT?!

-Did they just... THAT HAD TO BE A HALLUCINATION! I SERIOUSLY SAW THAT. GABRIEL SUNG! AND POORLY MIGHT I ADD!

-Also he slid down the staircase and the song stopped when Nathalie is like "The fuck was that you tampon?!"

-Gabriel explained why he is so happy

-Nathalie going back to watching videos of her gay crush

-Roarr calls him out like a good boy

-Gabriel is pulling out all the stops with this power combo

-Oh look the resistance is back

-Can we appreciate that Nino had a great speech with epic music?

-Adrien just turns it off cause he wants to ask about ladybug

-Marinette worried about chat noir

-Adrien is like mentally 'Oh right, I made out with her as chat noir'

-Max and Markov made an alert app on the alliance or smartphone. Smart move

-Kitty section made warning music. Thats fun

-So they have anti-akuma measures. Gotta say, thats kind of cute

-I know he says paintball guns. But I was kind of hopping Alya, Nino, marinette and Adrien would get real guns and cap an akuma

-HE WAS THERE THE WHOLE TIME?! Dude! He could have just ended it there! are you stupid MONARCH?!

-Okay I know its not 100% and he needs to confirm its them. But like. He could have just stunned them. Checked them for earrings and rings. Then left.

-Okay Adrien you f***ing dweeb. I love it. He got a little make shift table for two with a bowl of fruit and a rose. BOY GOES HARD. ITS SO CRINGE AND SWEET.

-With supportive friends. They are really middle school

-Adrien my boy, my sweet sunshine. Marinette my lovely little moon beam. WHY ARE YOU SO ADORABLE AND CRINGE!!!!

-Chloé doesnt know what Generous means, and her alliance doesnt understand . So she tells her sabrina... which tells her alliance. I fucking cant....

-And Chloé is going to do something that will get her akumatized isnt she

-Marinette is trying so hard

-Adrien doesnt get that this girl is trying to grab what she has wanted for 5 seasons

-And there we go, progress was made. Thanks to Chloé interestingly enough

-Adrien is not dealing with her crap, neither is anyone else. Good on them

-And there Zoe is. Because she has had enough of Chloé being mean to her Crush Friend (Look I still believe Zoe is into Marinette.)

-And I forgot monarch was there just watching everything.

-Sole Destroyer? Oh SHE gets to be Sole Crusher now.

-she makes them into shoes that sing!

-Side note, Sole destroyer lOOKS WAY more menacing than the previous one

-OH S*** HE GOT EM! Plagg and ZOE

-HE GOT TIKKI AND ALYA!!!

-Oh no....

-HE PREDICTED PLAGG WOULD TRY AND KILL HIM?!

-so thats what random tikki power looks like when just casting lucky charm

-what did plagg do!?!

-YO!!! PLAGG BROKE HIS MIRACULOUS! THATS F***ING CRAZY. Plagg may be a cat, but he is clearly the GOAT

-Plagg really just said (Screw the rules I am not playing) And knew the lucky charm would be the way of fixing it

-Things are getting created and destroyed like crazy! damn

-Marinette went right back to Ladybug mode

-Comrade mayo

-Wait... does the lucky charm have a time limit if Tikki made it?

-So the miraculous are the tether to the human world. Wait... then how were the kwami around traveling in space before they existed.

-Marinette showed up in her own designed version of it. And I will say it. Aside from the helmet. It slaps

-UGH Monarch bug.... the darker mask is cool and the red eyes... but the spots are such a NO!

-Yoo, that throw should have broke Marinette's back. IT CRACKED CONCRETE!

-NINO FOR THE SAVE

-THE PAINT BALLS! The resistance is actually useful

-WAIT... THEY CAPTURED SOLE DESTROYER?! HOW DID THEY EVEN?! You know what? Respect.

-He deakumatized her.

-COMRADE MAYO FOR THE COUP DE GRACE!!!

-STONE COLD! ADRIEN TAKES THE LADYBUG MIRACULOUS! WE STAN MAYO

-Ladybug fixed everything then before Monarch can be glad the cat ring was back. Marinette snatches the ring... but not the rest cause he had too many rings

-Welp, Monarch failed bad. Covered in paint and now on the back foot.

-Chloé is just there tied up

-So they get their miraculous back cause they realize Monarch doesnt know them so

-Plagg wants to say good bye to kitty noire first before returning to adrien

-Poor zoe, But glad Plagg told her to stand up for herself. Glad some positives were in that

-And some platonic ladynoir at the end

_____________________________________________________________

It was certainly something.

Though wow, Monarch got his ass beat by kids with no powers. Honestly that was funny

7/10

I do kind of wish we had more ladrien. But Everyone had a fun scene. Though minus 2 for that bleaching of the eyes that was monarch dancing

[arshiyainfosolution]

Top Mobile Advertising Agency in Gurgaon, India

Gurgaon, now officially known as Gurgaon, has rapidly transformed into a bustling hub for businesses, technology, and innovation. As companies vie for consumer attention in this dynamic market, mobile advertising has emerged as a powerful tool to reach target audiences effectively. To capitalize on this opportunity, businesses must partner with the Best Mobile Advertising Company in Gurgaon. In this blog post, we explore the key attributes that define Gurgaon's top mobile advertising agencies and spotlight ARSHIYA InfoSolutions, a leader in this space.

The Mobile Advertising Landscape in Gurgaon

Mobile advertising refers to the practice of reaching consumers through mobile devices like smartphones and tablets. Given the exponential growth of mobile internet users in India, particularly in urban centers like Gurgaon, mobile advertising has become indispensable for businesses aiming to maximize their reach and engagement.

Mobile advertising encompasses various formats, including in-app ads, mobile web ads, SMS and MMS campaigns, and mobile video ads. Each format has unique advantages and requires specialized expertise to execute effectively. The Best Mobile Advertising Company in Gurgaon must be proficient across these formats and adept at leveraging data and technology to optimize campaigns.

Key Attributes of the Best Mobile Advertising Company in Gurgaon

1. Comprehensive Service Offering

A top mobile advertising agency should provide a full spectrum of services, from strategy development to campaign execution and performance analysis. ARSHIYA InfoSolutions excels in delivering end-to-end mobile advertising solutions, ensuring that every aspect of your campaign is meticulously managed for optimal results. Their holistic approach enables businesses to achieve cohesive and impactful advertising efforts.

2. Expertise and Experience

Experience is a critical factor in mobile advertising. Agencies with a proven track record bring invaluable insights and a deep understanding of consumer behavior. ARSHIYA InfoSolutions boasts years of experience in the industry, with a portfolio that includes successful campaigns across diverse sectors. Their expertise ensures that they can navigate the complexities of the Gurgaon market and deliver effective advertising solutions.

3. Technological Innovation

The mobile advertising landscape is continually evolving, driven by advancements in technology. The Best Mobile Advertising Company in Gurgaon should be at the forefront of these changes, utilizing the latest tools and technologies to enhance campaign performance. ARSHIYA InfoSolutions leverages cutting-edge technologies such as artificial intelligence (AI) and machine learning (ML) to optimize ad placements, personalize content, and improve ROI.

4. Data-Driven Approach

Effective mobile advertising relies heavily on data analytics. An agency’s ability to analyze and interpret data can significantly impact the success of a campaign. ARSHIYA InfoSolutions employs sophisticated data analytics to gain insights into user behavior, preferences, and trends. This data-driven approach allows them to create highly targeted and personalized ad campaigns that resonate with the audience.

5. Creative Excellence

Creativity is a cornerstone of successful mobile advertising. Engaging and visually appealing ads capture attention and drive higher engagement. ARSHIYA InfoSolutions’ team of creative professionals excels in crafting compelling ad creatives that stand out in the crowded digital space. Their creativity, combined with strategic planning, ensures that campaigns are both visually striking and effective.

6. Transparency and Reporting

Transparency in campaign performance and reporting is crucial for building trust and making informed decisions. The Best Mobile Advertising Company in Gurgaon should provide clear and detailed reports on key performance metrics. ARSHIYA InfoSolutions is committed to transparency, offering clients comprehensive reporting and analytics that highlight campaign performance, insights, and areas for improvement.

7. Client-Centric Approach

An agency’s ability to understand and cater to the unique needs of its clients sets it apart. ARSHIYA InfoSolutions takes a client-centric approach, prioritizing communication, collaboration, and responsiveness. Their dedication to client satisfaction ensures that campaigns are tailored to meet specific business objectives and deliver measurable results.

Why ARSHIYA InfoSolutions is the Best Choice for Mobile Advertising in Gurgaon

ARSHIYA InfoSolutions stands out as the Best Mobile Advertising Company in Gurgaon for several compelling reasons.

Comprehensive Services: ARSHIYA InfoSolutions offers a wide range of services, from strategy development to execution and analysis, ensuring seamless campaign management.

Experience and Expertise: With years of industry experience, ARSHIYA InfoSolutions has a proven track record of delivering successful campaigns across various sectors.

Technological Innovation: ARSHIYA InfoSolutions utilizes the latest technologies, including AI and ML, to optimize campaigns and enhance performance.

Data-Driven Insights: Their data analytics capabilities enable highly targeted and personalized advertising efforts.

Creative Excellence: ARSHIYA InfoSolutions’ creative team produces visually appealing and engaging ad creatives that capture attention and drive results.

Transparency: Comprehensive reporting and analytics provide clear insights into campaign performance.

Client-Centric Approach: ARSHIYA InfoSolutions’ dedication to understanding and meeting client needs ensures tailored solutions and exceptional service.

Conclusion

In the competitive landscape of Gurgaon, mobile advertising is a critical component of a successful marketing strategy. Partnering with the Best Mobile Advertising Company in Gurgaon can significantly enhance your brand’s reach and engagement. ARSHIYA InfoSolutions, with its comprehensive service offering, technological innovation, and client-centric approach, is the ideal partner for businesses looking to leverage mobile advertising to its fullest potential. By choosing ARSHIYA InfoSolutions, you can be assured of impactful, data-driven, and creative advertising solutions that drive tangible results in the dynamic market of Gurgaon.

Whether you are a start-up aiming to build brand awareness or an established business seeking to optimize your advertising efforts, ARSHIYA InfoSolutions has the expertise and experience to help you achieve your goals. As the best mobile advertising company in Gurgaon, ARSHIYA InfoSolutions is committed to delivering excellence and innovation, ensuring that your mobile advertising campaigns are successful and transformative.

[john-carle123]

Revolutionize Your Business with AI-Powered App Solutions

Hey there, tech enthusiasts and business visionaries! Are you ready to take your company to the next level? Buckle up, because we're about to embark on an exciting journey into the world of AI-powered app solutions. Did you know that businesses implementing AI have seen an average revenue increase of 39%? That's right – AI isn't just a buzzword; it's a game-changer.

The Rise of AI in App Development

Remember when apps were just simple tools to check the weather or play basic games? Those days are long gone. Today, AI is transforming apps into intelligent assistants, predictive powerhouses, and decision-making dynamos. From Netflix's uncanny ability to recommend your next binge-worthy show to Spotify creating the perfect playlist for your mood, AI is everywhere – and it's only getting smarter.

But what's really exciting is how AI is making waves across all industries. Imagine an app that can detect skin cancer with the accuracy of a dermatologist or a virtual shopping assistant that knows your style better than your best friend. These aren't pipe dreams; they're reality, thanks to AI.

Key AI Technologies Transforming App Solutions

Now, I know what you're thinking: "This all sounds great, but how does it actually work?" Let's break it down into bite-sized pieces:

1.  Machine Learning: This is the bread and butter of AI. It's like teaching a computer to learn from experience, just like we do. The more data it processes, the smarter it gets.

2.   Natural Language Processing (NLP): Ever wonder how Siri or Alexa understands you? That's NLP in action. It's all about teaching computers to understand and respond to human language.

3.   Computer Vision: This is like giving your app a pair of eyes. It can recognize objects, faces, and even emotions in images and videos.

4.  Predictive Analytics: Imagine having a crystal ball for your business. That's what predictive analytics does – it uses historical data to forecast future trends.

Real-World AI Success Stories

Let's look at some real-world examples that'll knock your socks off:

1.   E-commerce Recommendation Engine: A major online retailer implemented an AI-powered recommendation system and saw a 35% increase in sales. The secret? The AI could predict what customers wanted before they even knew they wanted it!

2.   AI-driven Personal Assistant: A startup created an AI assistant app that helps busy professionals manage their schedules. Users reported saving an average of 2 hours per day on task management. Talk about giving the gift of time!

3.   Predictive Maintenance in Industrial Apps: A manufacturing company used AI to predict equipment failures before they happened. The result? A 30% reduction in downtime and millions saved in repair costs.

How AI Can Transform Your Business

Now, I can almost hear you asking, "But how can AI help MY business?" Well, friend, the possibilities are endless:

1.  Improved Customer Experience: AI can personalize user experiences, making your customers feel like VIPs every time they use your app.

2.  Increased Efficiency: Automate routine tasks and let your team focus on what really matters – innovation and growth.

3.  Data-Driven Decision Making: With AI analyzing your data, you'll have insights that can guide your business strategy with laser precision.

4. Competitive Advantage: In today's fast-paced market, businesses that leverage AI are leaving their competitors in the dust.

Our AI Expertise: Your Success is Our Mission

Here at Codiant, we're not just observers of the AI revolution – we're active participants. Our team of  Machine Learning experts eats, sleeps, and breathes AI. We've got PhDs who can explain neural networks over breakfast and developers who dream in algorithms.

But don't worry – we won't bore you with technical jargon. Instead, we focus on understanding your business goals and crafting AI solutions that align perfectly with your vision. Whether you're a startup looking to disrupt an industry or an established company aiming to stay ahead of the curve, we've got your back.

Tailored AI Solutions for Every Industry

No matter what industry you're in, AI has something to offer:

·   Healthcare: From diagnostic tools to personalized treatment plans, AI is saving lives.

·   Finance: Fraud detection, algorithmic trading, and personalized banking experiences are just the tip of the iceberg.

·    Retail: Enhance inventory management, personalize shopping experiences, and predict trends before they happen.

·   Manufacturing: Optimize production lines, predict maintenance needs, and improve quality control.

·   Education: Personalized learning paths, automated grading, and intelligent tutoring systems are revolutionizing how we learn.

Ready to Transform Your App with AI?

If you're excited about the possibilities (and let's be honest, who wouldn't be?), we're here to help you take the next step. Here's how we can work together to bring your AI-powered app to life:

1.   AI Strategy Consultation: We'll sit down with you, understand your business, and craft a customized AI strategy that aligns with your goals.

2.  Custom AI Model Development: Our team will develop AI models tailored specifically to your needs. No one-size-fits-all solutions here!

3.  AI Integration: Already have an app? No problem! We can seamlessly integrate AI capabilities into your existing platform.

4.  Ongoing Support: We're in it for the long haul. Our team provides continuous support to ensure your AI solution keeps evolving and improving.

Let's Get Started!

The AI revolution is happening now, and you don't want to be left behind. Whether you're ready to dive in headfirst or just dip your toes in the water, we're here to guide you every step of the way.

Why not start with a free initial consultation? It's a no-pressure way to explore how AI can supercharge your business. Just fill out the contact form below, and we'll be in touch faster than you can say "artificial intelligence."

Remember, the future is AI-powered, and the time to act is now. Your competitors are probably already exploring

[jcmarchi]

Stas Tushinskiy, CEO & Co-Founder of Instreamatic – Interview Series

New Post has been published on https://thedigitalinsider.com/stas-tushinskiy-ceo-co-founder-of-instreamatic-interview-series/

Stas Tushinskiy, CEO & Co-Founder of Instreamatic – Interview Series

Stas Tushinskiy is the CEO and co-founder of Instreamatic, a platform that offers AI-powered voice and audio marketing solutions to enable brands to better engage with consumers.

You previously Co-founded Unisound, an audio ad agency. How did this experience lead you to conceptualize launching an AI voice marketing company?

My experience at Unisound was foundational in understanding the evolving landscape of digital audio advertising. We were at the forefront of recognizing the growing demand and potential for audio ads in a digital space.

A key takeaway from my time there was the realization that personalization and contextualization significantly enhance the effectiveness of advertising, including audio ads. This understanding became a cornerstone for the vision behind Instreamatic.

At Unisound, we observed a gap in the market for intelligent, responsive advertising solutions. We envisioned using AI not just for targeting but also for creating a more interactive and engaging experience. This led to the idea of an AI-driven marketing platform, which would revolutionize how we interact with ads.

Could you share the genesis story of launching Instreamatic?

Originally, Instreamatic was born from a vision to transform how audio publishers monetize their content. Initially, our focus was on serving audio ads for monetization, which remains a significant part of our operations.

As we delved deeper into the industry, we identified a substantial opportunity in AI for creative optimization. This realization was pivotal in shaping our direction toward integrating AI technology more deeply into our services.

The convergence of our expertise in audio advertising and the advancements in AI technology was the catalyst for Instreamatic. We saw the potential to not only serve publishers but also to enhance the overall ad experience for users and advertisers alike, paving the way for a more dynamic and efficient advertising ecosystem.

What were some of the initial AI/ML technologies that were used?

We started with a simple classifier. It’s a supervised machine learning method where the model tries to predict the correct label of given input data. Then, we enhanced our classifier by using embeddings. Eventually, we didn’t limit ourselves to just NLP technologies. New ideas and challenges presented us with fresh obstacles and, now, our arsenal includes text-to-speech synthesis and zero-shot voice cloning.

How has generative AI changed your technology stack and how do you deploy it?

Generative AI has brought significant changes to both our technology stack and deployment strategies. Our current technology stack includes advanced machine learning libraries and frameworks that support generative AI models, particularly for text-to-speech synthesis and zero-shot voice cloning. We utilize high-performance computing resources to train these models, as they require substantial computational power. This involves leveraging GPU-accelerated hardware to handle the intensive processing demands.

For deployment, we rely heavily on cloud-based solutions. This offers us the scalability needed to manage the heavy workloads of generative AI applications. We use containerization technologies like Docker and orchestration tools like Kubernetes to manage and scale our applications efficiently. This setup ensures that our generative AI models can be deployed rapidly and scaled according to demand.

Our CI/CD pipelines are optimized for machine learning workflows. We use tools that enable us to automate the training and deployment of models, ensuring that they are always updated with the latest data and algorithms. This automation is crucial for maintaining the efficacy of our generative AI applications.

In terms of data handling, we have implemented robust data processing pipelines. These pipelines are designed to handle large volumes of data efficiently, which is essential for training and operating generative AI models. We ensure that data is processed and stored securely, adhering to best practices in data security and privacy.

Overall, the integration of generative AI into our technology stack has led us to adopt high-performance computing resources, cloud-based infrastructures, containerization for scalability, automated CI/CD pipelines for machine learning, and secure data processing mechanisms. These technical elements are fundamental to supporting the advanced capabilities of our generative AI applications.

Instreamatic specializes in what you call contextual video and audio advertising—how do you define that?

Contextual Advertising taps into current advances within generative AI to significantly alter what’s possible with video and audio ads. The result for businesses is increased brand engagement and ROI. Contextual Ads offer an essentially unlimited capability to continually generate and A/B test new creative content relevant to the listener’s specific context and environment.

The fact is the advertising industry has been up against declining engagement rates across ad types for years. That’s probably no surprise to anyone, as consumers demonstrate increased screen fatigue and resistance to generalized advertising that relies on bombarding audiences with ad quantity to earn conversions. While ads that demonstrate more specific original content and higher relevance to the consumer earn higher engagement, the time and cost investments required to manually produce and manage separate ad copy for each individual consumer’s context are extremely prohibitive.

Our contextual audio, video, and connected TV (CTV) ads are powered by AI to buck this low-engagement trend by enabling advertisers to make every ad hyper-relevant and precisely targeted to the consumer hearing it. Consider a traditional 30-second audio ad spot: a hired voice actor might record a few ad copy variations at most, not enough for the listener to be particularly surprised, or to necessarily capture their attention. Contextual Ads are capable of enhancing that traditional ad content, using generative AI to synthesize the same actor’s voice and automatically generate thousands of ad variations across a campaign.

Contextual Ads are especially useful for revitalizing longer ad campaigns (in the 3-6 month range). Traditionally, these campaigns are very vulnerable to creative fatigue: audiences get the same creative over and over, inevitably leading to decreased engagement. Our technology solves this challenge by making it simple to refresh creatives weekly. For retailers with weekly-updated product offers, for example, our automatic ad generation is similarly ideal for keeping those campaigns current and fresh.

How realistic is it for brands to expect AI to hyper-personalize ads?

It’s now fully realistic, as demonstrated by generative-AI-powered contextual advertising. Contextual Ads can feature hyper-personalized details, including the listener’s location, the time of day, the name or type of app or platform they’re using, and the activity they’re engaging in, whether it’s listening to a podcast, playing a game, etc. Contextual Ads can even include variables such as naming local storefronts and addresses, local in-store promotions, promo codes (unique to each channel to enable performance measurement), travel destinations with specific offers, and much more. These ads can also name the nearest local storefront where a listener can interact with the brand and redeem the deal offered in the ad. This same targeting capability ensures that ad campaigns reach vetted audiences that are most receptive to the products and solutions being offered. These ads are all generated and delivered without recording new voice or voice-over content.

Can you discuss the core offerings that your customers have access to?

From a brand perspective, our Contextual Ads platform takes a single original voice sample and script, identifies the set of parameters unique to each individual listener, and uses our voice AI capabilities to seamlessly produce and serve audio, video, or CTV ads aligned with those specifics. For example, a Contextual Ad generated for a particular user could begin, “Hope you’re enjoying your podcast on this rainy morning in Chicago, I just wanted to quickly let you know that coffee is buy-one-get-one-free at Jake’s Coffeeshop all month.” Whereas producing that same ad creative with prerecorded audio and branching logic would be an all-but-impossible undertaking, the voice AI behind Contextual Ads prepares this creative on-demand—automatically and in real-time.

From a publisher’s perspective, AI-driven voice, video, and CTV Contextual Ads offer a game-changing innovation with no complex integration required. Contextual Ads work with all demand-side platforms (DSPs) and ad servers supporting VAST tags, offering instant scalability. Publishers can also leverage our ad network to reach more than 6 billion impressions globally at no platform cost: technical costs are included in media spend when publishing within network.

Could you share some details on the process of launching an ad on the platform?

Launching an ad on our platform literally takes just minutes. The brand or agency user simply writes ad copy with or without help from AI, then either chooses a royalty-free voice from our Voice Library or clones their own voice talent. Users can also upload any additional assets necessary (background music, video footage, banners, etc). The user finalizes the ad, and the platform provides versions ready to serve—either via the VAST tag (the industry standard for ad trafficking), or as downloadable media files ready to go for any digital and broadcasting environments.

These AI-enriched ads not only increase the performance of video and audio ad campaigns by enabling hyper-personalization at scale, but also slash the cost to produce campaigns and reduce ad creation time from weeks to minutes. For campaigns with 50+ versions, users experience a ~10X cost decrease. Our technology offers similarly decisive benefits for single-creative campaigns as well. The platform is also a great instrument for sales teams to quickly produce ad mock-ups for their clients without engaging with production and creative teams at an early stage, since our AI can write copy and fully produce custom ads.

What’s your vision for the future of AI advertising and marketing?

I really do see a future where customers aren’t annoyed at (or tuning out) ads because each one is now relevant and more interesting to them, with brands are that much more capable of reaching the right audiences at the right moments with the perfect contextual message. That’s obviously a sea change from where the industry is now, but I do believe that’s where we’re headed—and AI, leveraged strategically, is making it possible. Contextual Ads are also going to continually get better at capturing listeners’ attention because they speak precisely to their context and their needs, especially in the privacy-first world where user targeting gets harder and harder—so context targeting is the only efficient mechanism for boosting ad performance. Our advanced generative ad AI can create unlimited new creatives to address each listener as an individual. The result is an uplift in listener engagement, greater ad ROI, and more meaningful customer connections for brands.

Thank you for the great interview, readers who wish to learn more should visit Instreamatic.

[nividawebsolutions]

Next-Gen Personalization: AI-Powered eCommerce Development

In the ever-changing domain of electronic commerce, it is crucial for firms to maintain a competitive edge in order to succeed in the digital environment. The integration of AI into online purchasing systems is considered a groundbreaking breakthrough that has significantly transformed the eCommerce industry. The integration of AI with eCommerce has ushered in a new era of advanced personalization, revolutionising the manner in which firms interact with their clientele and augmenting the overall retailing encounter. From concept to conversion, choose Nivida Web Solutions - an excellent eCommerce development company in Vadodara for exceptional eCommerce development!

This blog article aims to explore the concept of AI-powered eCommerce development and its significant influence on next-generation personalization.

●    Understanding Next-Gen Personalization:

The incorporation of personalization has consistently proven to be a pivotal determinant of success in the realm of electronic commerce. Customising product recommendations, offers, and content to align with the unique preferences of individual customers has the potential to greatly augment user engagement and stimulate sales. Nevertheless, the conventional method of customising frequently depended on segmented data and pre-established criteria, constraining its efficacy and precision.

The notion of next-generation personalization has been significantly enhanced by the utilisation of AI to analyse extensive quantities of data, encompassing browsing history, buying patterns, demographic information, and even real-time interactions. The AI algorithms process a vast amount of information in order to obtain a comprehensive understanding of individual customers' preferences, intentions, and behaviours. The extent of comprehension attained allows eCommerce platforms to provide exceedingly pertinent and timely suggestions, thereby establishing a shopping encounter that imparts a sense of personalization to individual users.

●    AI's Role in Next-Gen Personalization:

The efficacy of future-generation customization relies on AI's capacity to effectively process and analyse intricate datasets. ML (ML) algorithms are crucial in the identification of patterns and trends within data, hence facilitating accurate predictions and suggestions by the system. Natural Language Processing (NLP) plays a crucial role in augmenting the user experience by facilitating chatbots and virtual assistants to comprehend and address client enquiries in a manner that closely resembles human interaction.

The recommendation system is an exemplary utilisation of AI within the realm of eCommerce. AI algorithms have the capability to examine a user's historical records of purchases, patterns of online surfing, and activities on social media platforms in order to provide recommendations for products that are in line with their individual interests. This not only contributes to increased sales but also promotes consumer happiness by streamlining the process of product selection and minimising the inconvenience of sorting through useless items. Stay ahead in the digital landscape with Nivida Web Solutions - a trusted eCommerce development company in Gujarat!

●    Enhanced Customer Experience:

The advancement of personalisation in the next generation extends beyond just product recommendations. AI-driven eCommerce platforms have the capability to generate customised purchasing experiences throughout the whole customer journey. Consider a hypothetical situation in which a customer is promptly welcomed by a virtual shopping assistant upon accessing the website. This AI-powered virtual assistant facilitates the customer's shopping experience by offering guidance, assisting in product selection, providing immediate support, and offering recommendations for complementary items.

Furthermore, the implementation of AI-driven personalisation has the potential to be applied to interactions that occur after a purchase has been made. The implementation of personalised order updates, recommendations for related products, and bespoke content have the potential to cultivate a sense of loyalty and sustain client engagement beyond the point of purchase.

●    Data Privacy and Ethics:

The advantages of next-generation customization are indisputable; yet, it is imperative to acknowledge and confront apprehensions pertaining to data privacy and ethical considerations. The need for transparency and security in retaining user data becomes increasingly significant as AI systems collect and analyse extensive quantities of information. It is imperative for businesses to adopt comprehensive data protection protocols, acquire appropriate user consent, and guarantee the ethical and impartial decision-making of AI algorithms.

Final Thoughts:

The incorporation of AI-powered next-generation customization has emerged as a significant development in the quickly expanding eCommerce market. The utilisation of AI to comprehend, anticipate, and accommodate unique client preferences is fundamentally transforming the manner in which businesses interact with their target demographic. AI is significantly enhancing the eCommerce experience by providing precise product recommendations and tailoring shopping trips to individual users. This advancement is propelling the eCommerce experience to unprecedented levels.

As the advancement of this technology progresses, enterprises that use AI-driven eCommerce development are poised to attain a competitive advantage in attracting client interest, facilitating transactions, and cultivating enduring loyalty. Nevertheless, it is of utmost importance to proceed cautiously, prioritising the preservation of data privacy and ethical issues throughout this process of transition. Empower your eCommerce venture with the best eCommerce development company in India - Nivida Web Solutions!

[elizabethplaid]

Tired after a long day - April 23, 2024

Woke to morning greetings around 7ish, then fell back asleep before 9. Had specifically set my alarm to 10:30. Snoozed a few times but did wake. But then, I was having anxiety shakes - specifically, the kind that are like my muscles seizing involuntarily, like doing stomach crunches. Did my best to breathe and talk myself through it. Sometime after noon, I was able to get out of bed. (Moscow helped a bit, too. I fought harder against the shaking, so I wouldn't squish her.)

Lots lots lots of talking myself through each step. I got through it all okay, but it felt so rough. More play-by-play commentary below the cut.

Took meds at home; got food at the gas station; was right on-time. Breakfast-lunch was decent, though not ideal: cinnamon bun-twist and a blueberry scone, plus a bottle of Dunkin iced coffee and my usual soda.

Put on this video of ADHD music (uses isochronic tones) as soon as I started up my computer. It's a strong but soothing rhythm, without being too harsh. Very good for regulating myself, setting a steady pace.

I had Since (my bear) and my Woolrich sweater with me, so I spent a lot of the day just hugging her and trying to resist doing stomach crunches. (It's very rare that I do those while not in bed, if I get them at all.)

The fluorescent lights were harsh on my eyes. After I was able to calm down, maybe after 2 hours-ish, I was okay to have my eyes open.

Managed some limited small-talk with some folks. LL-J is always easier to talk to, though she gave me space to calm myself. Nearly tripped on my laptop's power cord, as I got up to shelve some books, oops.

LL-J went home not long after 4, and I said I'd be good til closing (6pm). Well, I made it to just before 5pm, and my body said it wanted me to go home, like I said earlier. (I don't like being in the bathroom for a long time if there's no one else in the library/building.)

Got home and got settled. Had to lay down after, because I felt so unnerved and tired from earlier in the day. Texted a couple friends to tell them what happened. Said I was getting my "socialization quota" (paraphrased) by checking in with them, which is true.

I kinda wanted to "brag" about how well I weathered the anxiety, though I wasn't ready to post to tumblr yet. I'll be bragging again tomorrow in counseling. I scheduled -that- for a phone appointment even before I left the house! Woo! LL-J joked about giving me a gold star sticker for my accomplishments, but I really did feel good about weathering it all today. It's still tough to appreciate it when you're -right- in the middle of things, though.

So yeah, laid in bed for a couple hours, mostly reading alien romance novels. Finished one and started another (the 3rd and 4th in the series). I love how each book focuses on a different couple that is aboard this space ship. So they all know one another and interact with each other. The ML of the 4th book was a close friend of the FLs in the 2nd and 3rd books (sisters), and now we get to see him shine. Makes me feel all warm and fuzzy, that they're interconnected but not completely blood-related.

[I don't know if there's an over-arching title for the series, but it's by Nancey Cummings, on the Readict app. The titles are Paax (1), Kalen (2), Mylomon (3), and Vox (4). I think #5 goes back to Paax, and then there's 5 other dudes' stories. They're usually about 20-25 chapters. The stories are set in war, with the continuous themes of medical experiments, eugenics, and human-alien... *ahem* "relations". Vox is my fav so far, because he's an otaku for human culture and very friendly.]