#artificial intelligence video lectures

[coffeestainedcamera]

To any Genshin players contemplating Duolingo:

I'm not a hater out of elitism. Actually, I think that free language learning resources are wonderful! Back when Duolingo hadn't gone full AI and I was a high schooler on an allowance, it helped me with Spanish 101 ffs. Unfortunately, it seems that the priority is now more on the quirky ad budget and less on actually providing students with a quality learning resource that feels like a game.

Anyways, I'm on lingodeer for Spanish and Korean nowadays (but the app is paid). Bought a year's subscription during a winter sale for $80 USD. The grammar explainers are very clear and the app has limited gamification via streaks. Cake is more focused on speaking and has lots of video lectures. Also paid, got yearly sub on winter sale for $75.

If you're on Webtoon, the international build lets you swap languages without geoblocking (and the Spanish and French sections are pretty extensive, for anyone taking school classes in these). I've found it to be a fun reading practice that displaced my bad habit of social media before bedtime. You can also start an account on Kakao Page for webtoons in Korean. Only caveat is you'll be reading in a mobile browser bc the app isn't internationally distributed and I don't endorse installing from APK. Security issues for the device and I've previously been banned from online games bc this is technically a TOS violation apparently. Can't rec Naver Webtoon (the Korean build of Webtoon) in good conscience bc I found their account setup process too troublesome and quit.

You can take free Korean 101 classes from a public uni via King Sejong Institute's site at iksi.or.kr. I've been finding their explainers very straightforward. They offer both asynchronous and Zoom classes. If your fam has Netflix, also install the Language Reactor extension in chrome for bilingual subtitles and a hover-over dictionary. Start with slice-of-life shows bc they drop lots of useful vocab.

You can also browse around Coursera's language learning section bc yeah, you actually can take a free college class there. It's basically youtube for college classes, I suppose. Including Spanish ones from UC Davis.

This is specifically aimed at the schoolkids who play Genshin. I just think that y'all deserve better than an AI textbook with a genius social media marketing team.

[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

[scifigeneration]

AI could improve your life by removing bottlenecks between what you want and what you get

by Bruce Schneier, Adjunct Lecturer in Public Policy, Harvard Kennedy School

Artificial intelligence is poised to upend much of society, removing human limitations inherent in many systems. One such limitation is information and logistical bottlenecks in decision-making.

Traditionally, people have been forced to reduce complex choices to a small handful of options that don’t do justice to their true desires. Artificial intelligence has the potential to remove that limitation. And it has the potential to drastically change how democracy functions.

AI researcher Tantum Collins and I, a public-interest technology scholar, call this AI overcoming “lossy bottlenecks.” Lossy is a term from information theory that refers to imperfect communications channels – that is, channels that lose information.

Multiple-choice practicality

Imagine your next sit-down dinner and being able to have a long conversation with a chef about your meal. You could end up with a bespoke dinner based on your desires, the chef’s abilities and the available ingredients. This is possible if you are cooking at home or hosted by accommodating friends.

But it is infeasible at your average restaurant: The limitations of the kitchen, the way supplies have to be ordered and the realities of restaurant cooking make this kind of rich interaction between diner and chef impossible. You get a menu of a few dozen standardized options, with the possibility of some modifications around the edges.

That’s a lossy bottleneck. Your wants and desires are rich and multifaceted. The array of culinary outcomes are equally rich and multifaceted. But there’s no scalable way to connect the two. People are forced to use multiple-choice systems like menus to simplify decision-making, and they lose so much information in the process.

People are so used to these bottlenecks that we don’t even notice them. And when we do, we tend to assume they are the inevitable cost of scale and efficiency. And they are. Or, at least, they were.

The possibilities

Artificial intelligence has the potential to overcome this limitation. By storing rich representations of people’s preferences and histories on the demand side, along with equally rich representations of capabilities, costs and creative possibilities on the supply side, AI systems enable complex customization at scale and low cost. Imagine walking into a restaurant and knowing that the kitchen has already started work on a meal optimized for your tastes, or being presented with a personalized list of choices.

There have been some early attempts at this. People have used ChatGPT to design meals based on dietary restrictions and what they have in the fridge. It’s still early days for these technologies, but once they get working, the possibilities are nearly endless. Lossy bottlenecks are everywhere.Imagine a future AI that knows your dietary wants and needs so well that you wouldn’t need to use detail prompts for meal plans, let alone iterate on them as the nutrition coach in this video does with ChatGPT.

Take labor markets. Employers look to grades, diplomas and certifications to gauge candidates’ suitability for roles. These are a very coarse representation of a job candidate’s abilities. An AI system with access to, for example, a student’s coursework, exams and teacher feedback as well as detailed information about possible jobs could provide much richer assessments of which employment matches do and don’t make sense.

Or apparel. People with money for tailors and time for fittings can get clothes made from scratch, but most of us are limited to mass-produced options. AI could hugely reduce the costs of customization by learning your style, taking measurements based on photos, generating designs that match your taste and using available materials. It would then convert your selections into a series of production instructions and place an order to an AI-enabled robotic production line.

Or software. Today’s computer programs typically use one-size-fits-all interfaces, with only minor room for modification, but individuals have widely varying needs and working styles. AI systems that observe each user’s interaction styles and know what that person wants out of a given piece of software could take this personalization far deeper, completely redesigning interfaces to suit individual needs.

Removing democracy’s bottleneck

These examples are all transformative, but the lossy bottleneck that has the largest effect on society is in politics. It’s the same problem as the restaurant. As a complicated citizen, your policy positions are probably nuanced, trading off between different options and their effects. You care about some issues more than others and some implementations more than others.

If you had the knowledge and time, you could engage in the deliberative process and help create better laws than exist today. But you don’t. And, anyway, society can’t hold policy debates involving hundreds of millions of people. So you go to the ballot box and choose between two – or if you are lucky, four or five – individual representatives or political parties.

Imagine a system where AI removes this lossy bottleneck. Instead of trying to cram your preferences to fit into the available options, imagine conveying your political preferences in detail to an AI system that would directly advocate for specific policies on your behalf. This could revolutionize democracy.Ballots are bottlenecks that funnel a voter’s diverse views into a few options. AI representations of individual voters’ desires overcome this bottleneck, promising enacted policies that better align with voters’ wishes. Tantum Collins, CC BY-ND

One way is by enhancing voter representation. By capturing the nuances of each individual’s political preferences in a way that traditional voting systems can’t, this system could lead to policies that better reflect the desires of the electorate. For example, you could have an AI device in your pocket – your future phone, for instance – that knows your views and wishes and continually votes in your name on an otherwise overwhelming number of issues large and small.

Combined with AI systems that personalize political education, it could encourage more people to participate in the democratic process and increase political engagement. And it could eliminate the problems stemming from elected representatives who reflect only the views of the majority that elected them – and sometimes not even them.

On the other hand, the privacy concerns resulting from allowing an AI such intimate access to personal data are considerable. And it’s important to avoid the pitfall of just allowing the AIs to figure out what to do: Human deliberation is crucial to a functioning democracy.

Also, there is no clear transition path from the representative democracies of today to these AI-enhanced direct democracies of tomorrow. And, of course, this is still science fiction.

First steps

These technologies are likely to be used first in other, less politically charged, domains. Recommendation systems for digital media have steadily reduced their reliance on traditional intermediaries. Radio stations are like menu items: Regardless of how nuanced your taste in music is, you have to pick from a handful of options. Early digital platforms were only a little better: “This person likes jazz, so we’ll suggest more jazz.”

Today’s streaming platforms use listener histories and a broad set of features describing each track to provide each user with personalized music recommendations. Similar systems suggest academic papers with far greater granularity than a subscription to a given journal, and movies based on more nuanced analysis than simply deferring to genres.

A world without artificial bottlenecks comes with risks – loss of jobs in the bottlenecks, for example – but it also has the potential to free people from the straightjackets that have long constrained large-scale human decision-making. In some cases – restaurants, for example – the impact on most people might be minor. But in others, like politics and hiring, the effects could be profound.

[taqato-alim]

Analysis of: "From Brain to AI and Back" (academic lecture by Ambuj Singh)

The term "document" in the following text refers to the video's subtitles.

Here is a summary of the key discussions:

The document describes advances in using brain signal recordings (fMRI) and machine learning to reconstruct images viewed by subjects.

Challenges include sparseness of data due to difficulties and costs of collecting extensive neural recordings from many subjects.

Researchers are working to develop robust models that can generalize reconstruction capabilities to new subjects with less extensive training data.

Applications in medical diagnosis and lie detection are possibilities, but risks of misuse and overpromising on capabilities must be carefully considered.

The genre of the document is an academic lecture presenting cutting-edge neuroscience and AI research progress to an informed audience.

Technical content is clearly explained at an advanced level with representative examples and discussion of challenges.

Ethical implications around informed consent, privacy, and dual-use concerns are acknowledged without overstating current capabilities.

While more information is needed, the presentation style and framing of topics skews towards empirical science over opinion or fiction.

A wide range of stakeholders stand to be impacted, so responsible development and governance of emerging neural technologies should involve multidisciplinary input.

Advancing both basic scientific understanding and more human-like machine learning is a long-term motivation driving continued innovation in this important field.

Here is a summary of the key points from the document:

The speaker discusses advances in using brain signal recordings (fMRI) to reconstruct images that a person is viewing by training AI/machine learning models.

An example is shown where the top row is the actual image viewed and the bottom row is the image reconstructed from the person's brain signals.

Larger datasets with brain recordings from multiple subjects are allowing better models to be developed that may generalize to new subjects.

Challenges include the sparseness of brain signal data due to the difficulty and costs of collecting it from many subjects.

A model is presented that maps brain signals to a joint embedding space of images and text, allowing reconstruction of novel images from new brain signals.

Examples are shown where the reconstructed images match fairly well or not as well depending on image details and semantics.

Issues around ethics, risks of misuse, and questions of explaining and improving the models are discussed.

Ongoing work aims to address challenges around transferring models between subjects and measuring reconstruction performance.

Based on the content and style of the document, it appears to be an academic lecture or presentation.

Key evidence points include:

The document consists primarily of a speaker talking and presenting slides/examples to an audience, as indicated by phrases like "Let me just start with this" and an applause at the end.

Technical topics from neuroscience and machine learning/AI are discussed in detail, such as fMRI brain recordings, reconstructing images from brain signals, modeling approaches, dataset descriptions, and challenges/questions in the field.

Academic concepts like human subjects studies, building models, transferring learning, and measuring performance are referred to.

The presentation of information is intended to educate the audience on the state of the field and cuttting edge research, not just entertain.

There are no narratives, characters or creative storytelling elements - it adheres strictly to explaining complex technical content.

Therefore, based on the instructive/educational style and focus on explaining advanced technical research, I would classify the genre of this document as an academic lecture/presentation intended to inform an audience about progress in the domain of neuroscience and artificial intelligence.

Here are some of the key stakeholders that could be affected by the content and topics discussed in this document:

Neuroscience researchers - Directly interested and impacted by advances reported from their field of study. Progress informs future research directions.

AI/machine learning researchers - Models and challenges discussed could inspire new research at the intersection of AI and neuroscience. Transfer of model techniques.

Medical/clinical communities - Potential applications to diagnosis, personalized medicine if models can accurately reconstruct brain states. Raises ethical issues.

Government research agencies - Fund future related research based on understanding of opportunities and challenges conveyed. Evaluates societal impacts.

General public - Increased understanding of science helps engagement but topics like brain reading raise public concerns around privacy, consent if translated beyond research.

Research participants - Summary does not disclose identities but motivates others to contribute data for progress. Well-being depends on responsible use of data.

Technology companies - Commercial opportunities from real-world applications but also reputational risks if misused. Data ownership questions.

Academic institutions - Collaborations, education of next generations of researchers on cutting-edge topics is enabled through open dissemination of knowledge.

Overall the document provides value to a wide range of stakeholders by communicating the state and potential implications of this multidisciplinary area of neuroscience and AI research. Responsible stewardship is important given several ethical considerations.

Here is a summary of the key points about advances in using brain signal recordings from the document:

Researchers are using fMRI to record brain signals as people view images, in order to reconstruct the viewed images from the brain activity patterns alone.

Machine learning models, especially neural networks, are allowing researchers to train mappings from brain signals to representations of semantic content like images and text.

Examples show the capability of reconstructing fairly accurate images that a person viewed, based solely on their brain activity recordings during viewing.

Larger datasets with multiple subjects are important to develop models that may generalize beyond individual subjects. However, fMRI data is very difficult and expensive to collect at scale.

Advances now allow reconstruction of more complex stimuli like full stories a person reads, not just static images.

Ongoing work aims to better understand brain learning processes and apply those principles to more human-like machine learning architectures.

Analyzing brain recordings also has potential applications for medical diagnosis, lie detection, personalized medicine as models improve.

Ethics must be carefully considered to ensure technologies for reading neural signals are developed and applied responsibly and avoid misuse or privacy violations.

So in summary, the document outlines significant progress using machine learning on brain recordings to reconstruct sensory experiences, with applications and open questions that can further both neuroscience and AI.

Here is a summary of the key points about the sparseness of brain signal data:

Collecting fMRI brain signal recordings from large numbers of subjects is extremely challenging and costly due to the resources and time required.

Each recording session with a single subject takes considerable time, as the number of images/stimuli that can be presented is limited within a session.

Collecting data from a single subject sufficient for training complex models may require recording sessions over multiple days or weeks.

As a result, publicly available datasets typically contain recordings from only a small number of subjects, often under 10.

The sparseness of data makes it difficult to develop robust models that will generalize well to new subjects that lack extensive recordings.

Researchers aim to better leverage smaller datasets by training models that can reconstruct novel stimuli from just a subset of training data per subject.

If successful, this could enable more efficient data collection, such as obtaining usable models from a subject after a single shorter session rather than many long sessions.

However, overcoming the sparseness of brain signal data remains a major challenge holding back progress in the field. Larger collaborative datasets are needed.

So in summary, sparse data severely limits progress but also motivates techniques to optimize learning from limited samples per subject.

Here is a summary of key points regarding risks of misuse from the document:

Advances in reconstructing cognitive states like images viewed from brain recordings raise potential dual-use concerns if technologies are not regulated.

Applications in medical diagnosis and lie detection could help many, but lead to issues if used without consent or for non-medical surveillance.

Overly ambitious claims about capabilities need to be avoided to prevent misleading expectations that could fuel inappropriate usage assumptions.

Privacy and security of sensitive neural data must be prioritized to prevent potential misuse for profiling, identification or manipulation without oversight.

Commercial pressures may incentivize premature deployment before understanding implications, so continued research is important.

Public education about limitations and complexities involved can help curb fears that fuel misuse if capabilities are overestimated.

Multidisciplinary cooperation ensures societal and ethical issues are considered proactively rather than reactively addressed later.

Governance frameworks may be needed to steer applications toward public benefit rather individual or state abuse of personal mental information.

The speaker acknowledges misuse risks to inform discussion and underscore the importance of ongoing examination of new neural technologies through multidisciplinary lens including ethics.

Based on the content and style of presentation, my evaluation of the document status is:

Science vs Fiction: Clearly grounded in science as it discusses ongoing empirical research studies using neuroimaging and machine learning techniques. No fictional or hypothetical elements.

Empirical vs Anecdotal: Empirical in nature, rooted in dataset collection from human subjects and quantitative modeling/evaluation, not personal experience. While data quantities are limited, research follows scientific method.

Fact vs Opinion: Primarily presents technical details and research findings as established facts from the literature. Does not advance strong personal opinions beyond realistic discussion of challenges. Maintains an objective tone.

Objective vs Subjective: Remains objective in explaining research accomplishments and questions objectively without emotive language or bias. Any subjective experience like dataset limitations are clearly labeled as such. Presentation aims for factual information transfer.

In summary, while farther research is still ongoing, the document presents the current state of a scientific research domain factually based on empirical evidence and quantitative analysis published in the field. It does not intermingle non-factual elements or stray from an objective reporting of the topic at hand. The status therefore skews heavily toward science, empiricism, fact and objectivity.

I did not identify any logical fallacies in the content or arguments presented in this document.

The speaker objectively summarizes established research results and proposals, without making assertions that require logical scrutiny.

Some key reasons why logical fallacies are not present include:

No causal claims are made without proper evidence or empirical support from published studies. Progress is tied to concrete research efforts.

No arguments are constructed through flawed reasoning or non sequiturs. Concepts are explained clearly and build upon each other logically.

Comparisons to other approaches are fair without strawman misrepresentations of opposing ideas. Related work is acknowledged.

Limitations and open challenges are candidly outlined rather than ignored or obscured through fallacious defense.

No emotional, exaggerated or politically motivated language is used that could constitute emotional appeals. Tone remains factual.

No false dilemmas or false attributions of complexity are presented. Discussions appropriately scope multi-factor research questions.

No hasty generalizations are made from limited evidence. Data constraints are clearly communicated.

Overall, through objectively summarizing established neuroscience and AI research domains and techniques, without engaging in argument or debate, I did not find any logical fallacies employed in this academic information-sharing document. The focus appears to be factual reporting of progress and issues, avoiding fallacious reasoning.

Here is an evaluation of the ethics addressed and considered in the document:

Informed consent is implied but not explicitly discussed for research participants. Given the sensitivity of brain data, proper protocols were likely followed.

Privacy and anonymity of participants is a concern, but cannot be fully assessed without more details on the dataset and review process.

Potential dual-use issues around brain reading/reconstruction technologies are identifed by discussing applications but also worries about misuse or lack of oversight. This shows awareness of ethical implications.

Limitations and challenges and openly discussed, avoiding overpromising on capabilities. This establishes credibility and sets appropriate expectations.

Societal impacts and usage beyond research (e.g. diagnostics) are flagged as requiring careful consideration of risks like surveillance, discrimination if not regulated properly.

No claims are made without empirical evidence, showing results are driven by facts rather than desires which can bias judgment. Objectivity helps ethical analysis.

Multidisciplinary collaboration is emphasized , suggesting diverse viewpoints were incorporated into the research process.

Overall, while full review details are not provided, the document demonstrates an awareness of important ethical considerations around privacy, consent and responsible development for these sensitive types of neural data and technologies. A balanced assessment of opportunities and risks is conveyed.

Here are the usual evaluation criteria for an academic lecture/presentation genre and my evaluation of this document based on each criteria:

Clarity of explanation: The concepts and technical details are explained clearly without jargon. Examples enhance understanding. Overall the content is presented in a clear, logical manner.

Depth of technical knowledge: The speaker demonstrates thorough expertise and up-to-date knowledge of the neuroscience and AI topics discussed, including datasets, modeling approaches, challenges and future directions.

Organization of information: The presentation flows in a logical sequence, with intro/overview, detailed examples, related work, challenges/future work. Concepts build upon each other well.

Engagement of audience: While an oral delivery is missing, the document seeks to engage the audience through rhetorical questions, previews/reviews of upcoming points. Visuals would enhance engagement if available.

Persuasiveness of argument: A compelling case is made for the value and progress of this important multidisciplinary research area. Challenges are realistically discussed alongside accomplishments.

Timeliness and relevance: This is a cutting-edge topic at the forefront of neuroscience and AI. Advances have clear implications for the fields and wider society.

Overall, based on the evaluation criteria for an academic lecture, this document demonstrates strong technical expertise, clear explanations, logical organization and timely relevance to communicate progress in the domain effectively to an informed audience. Some engagement could be further enhanced with accompanying visual/oral presentation.

mjsMlb20fS2YW1b9lqnN

[nickgerlich]

Now And Then

Headlines this morning are proclaiming that SAG-AFTRA (the screen actors guild) and Hollywood studios have reached a tentative agreement. That’s good for everyone, including fans, because it means that new content can be created for our viewing pleasure.

One of the major bones of contention in the strike was the possible use of AI not only to write scripts, but also be used to create audio and video in the likeness of stars. It is a very real possibility, and AI capabilities have advanced so much in recent months and years that it could happen, and completely without the permission of anyone being imitated.

But what if a project of this sort were actually initiated—and approved—by artists who tapped into AI capabilities to produce content of someone who is long deceased? That is precisely what Paul McCartney and Ringo Starr—the surviving members of the Beatles—did. Last week what is quite likely the last song ever by the Beatles to be released was unleashed to the world.

The song, Now And Then, was written by John Lennon, and had only been recorded as a crude demo on a cassette player in 1977. He had written it while living at the Dakota Hotel in NYC, and simply recorded it while at the piano. John’s wife, Yoko Ono, gave the cassette tape to Paul in 1994, but it could not be used in a subsequent effort at the time to produce a post-mortem anthology. The piano and vocal tracks could not be isolated.

Lennon was shot and killed in New York City on the evening of 8th December 1980. When that 90s project was underway, George Harrison was still alive. Alas, he died on 29th November 2001 of cancer. That left Paul and Ringo to do this project in the modern era.

And were it not for AI, this never would have happened. It should be noted that the new song is John’s real voice, not “AI John.” Artificial Intelligence was used to separate the original vocal from the piano, and then enhance Lennon’s vocals.

So while critics of AI need to mull that over and accept this was really a high-tech editing project, there remains the possibility that far more could be done. For example, I have extensive audio of my father telling stories while he was yet alive. Not only could I feed those into AI for enhancement, but I could tell the AI machine to create new audio content in the voice and style of my late father, using a script that I would feed it.

Now imagine a professor—someone, maybe me, maybe someone else—doing the same thing. It takes a long time to create long-form lecture audio files. Not just for the speaking part, but also for the multiple takes required when the prof stumbles or coughs. It’s one thing for this prof to do the audio recording of blogs like this every morning, because they are only five to seven minutes long. It is quite another when you’ve got thousands of words to speak.

For that matter, Voice Actors could be put out of business if we’re not careful. All those audio books on Audible could be created with the click of a few buttons, having uploaded a voice sample. And while we’re at it, why not audio text books? Sheesh. That’s an idea that should have been done years ago.

Meanwhile, I am loving the Beatles’ new song. I know. I am old like that. But in my defense, my two 20-something daughters love the Beatles, too. I credit that to good upbringing, and them growing up surrounded by 60s- and 70s-era music. You might call that punishment, but they rather like it.

Turn it up and enjoy the song, because it’s the last time you’ll ever hear them together. Even if they aren’t. Dr “AI To The Rescue” Gerlich

Audio Blog

[theoldcurator]

The future of note-taking how AI will revolutionize your second brain

The Future of Note-Taking: How AI will Revolutionize Your Second Brain

In today's fast-paced world, note-taking has become an essential tool for individuals and organizations looking to capture and retain information for future use. From students, business professionals, to researchers, note-taking has become ubiquitous, and with the advancement of technology, the future of note-taking is set to change significantly, with artificial intelligence (AI) poised to revolutionize the way we capture, organize, and retrieve information.AI is not a new concept, but it's application in note-taking is a relatively new development. AI is set to become an essential tool for individuals and organizations looking to capture and retain information for future use. In this blog post, we will explore how AI will transform note-taking and the benefits it will bring. Improved Organization and RetrievalOne of the key advantages of using AI in note-taking is the improved organization and retrieval of information. AI-powered note-taking applications can analyze and categorize notes based on keywords, topics, and themes. This feature eliminates the need for manual sorting and helps users find information quickly and easily. For example, if you take notes during a meeting, an AI-powered note-taking app can automatically categorize your notes based on the attendees, topics discussed, and important takeaways. This makes it easier to find specific information quickly and saves time.With AI-powered note-taking apps, users can easily track their notes and retrieve them when needed. An AI-powered note-taking app such as Evernote uses machine learning to analyze the user's notes and make suggestions based on the content of the note. This feature makes note-taking more efficient, accurate, and effective. Personalized Recommendations Another benefit of using AI in note-taking is personalized recommendations. AI-powered note-taking apps can analyze a user's notes, interests, and preferences to make personalized recommendations for related content. This feature helps users discover new topics, expand their knowledge, and make connections between different ideas. For example, if you take notes on a particular topic, an AI-powered note-taking app can recommend related articles, videos, or podcasts that you may find interesting. This feature can help users stay informed and up-to-date on the latest trends and developments in their areas of interest. AI-powered note-taking apps can also provide context to the user's notes by making connections to other notes and information available online. This feature can help users gain a deeper understanding of the information they have captured, and make connections between different ideas. Natural Language Processing The third way AI will revolutionize note-taking is through natural language processing (NLP). NLP is a branch of AI that focuses on the interaction between humans and computers using natural language. AI-powered note-taking apps using NLP can understand and interpret the user's notes, allowing for more accurate categorization and analysis. This feature improves the quality of the notes and makes it easier to extract useful information. For example, if you take notes during a lecture, an AI-powered note-taking app can automatically identify and highlight key points, making it easier to study and review the material later. AI-powered note-taking apps can also identify patterns and trends in the user's notes, providing insights that would otherwise be difficult to uncover. For example, an AI-powered note-taking app can identify patterns in a user's notes and suggest ways to improve their productivity and effectiveness. AI is set to revolutionize note-taking, bringing significant benefits to individuals and organizations. With improved organization and retrieval, personalized recommendations, and natural language processing, note-taking will become more efficient, accurate, and effective. As we move towards a more digital and connected world, AI-powered note-taking apps will become an essential tool for individuals and organizations looking to capture and retain information for future use. The future of note-taking is here, and AI is leading the way. With AI-powered note-taking apps, individuals and organizations can take their note-taking to the next level, making it more efficient, accurate, and effective. The benefits of using AI in note-taking are clear, and it's only a matter of time before AI-powered note-taking apps become ubiquitous. Read the full article

[nyusoft]

Why Mobile Learning Apps Are Revolutionizing Education?

Mobile learning apps have become a game-changer in the education sector, transforming how students engage with learning materials, interact with teachers, and track their progress. With the proliferation of smartphones and tablets, these apps have made learning more accessible, flexible, and personalized, significantly impacting both traditional and remote education systems. Below are the key reasons why mobile learning apps are revolutionizing education.

1. Accessibility and Flexibility

Mobile learning apps provide students with the flexibility to learn anytime and anywhere. Whether commuting, waiting in line, or at home, students can access course materials, watch lectures, complete assignments, and engage in discussions on their mobile devices. This increased accessibility removes geographical and time barriers that were once limiting factors in education, enabling students to take control of their own learning schedule.

For example, students in remote or underserved areas can now access high-quality educational content that was previously unavailable to them. This levels the playing field, providing equal opportunities for students regardless of location.

2. Engagement and Interactivity

Mobile apps incorporate features like gamification, quizzes, interactive videos, and real-time feedback that enhance student engagement. Gamification elements such as leaderboards, badges, and challenges motivate students to keep progressing, making learning more enjoyable and competitive. Interactive tools like simulations and augmented reality (AR) allow students to immerse themselves in complex topics, making abstract concepts easier to understand and retain.

For instance, in subjects like science or history, students can explore virtual labs or historical simulations, gaining hands-on experience in a way that traditional textbooks cannot offer. These interactive elements increase student participation and improve retention rates.

3. Personalized Learning Experiences

One of the most significant advantages of mobile learning apps is their ability to provide personalized learning experiences. Many apps use artificial intelligence (AI) to track students' progress and adapt content to their individual needs. Based on performance data, the app can recommend lessons, quizzes, and learning paths that help students improve in areas where they may be struggling.

This personalized approach not only enhances learning outcomes but also empowers students to learn at their own pace, reducing the pressure of keeping up with a class.

4. Instant Access to Resources and Collaboration

Mobile learning apps enable students to access a wealth of resources, including eBooks, articles, videos, and research papers, at the touch of a button. This instant access encourages independent learning and supports students in deepening their understanding of subjects. Moreover, features like messaging, discussion boards, and video conferencing allow students to collaborate with peers and teachers, fostering a sense of community and facilitating interactive learning.

5. Cost-Effective and Sustainable

Mobile learning apps are often more affordable than traditional educational tools like printed textbooks or classroom-based courses. With custom edtech apps, schools and universities can save on the costs of paper materials, and students can download content and access it without needing expensive equipment.

Conclusion

Mobile learning apps are transforming the educational landscape by making learning more accessible, engaging, personalized, and collaborative. As technology continues to evolve, the potential for mobile learning to enhance educational outcomes will only grow, making it a vital tool for students and educators worldwide.

[amrutatbrc1]

Smart Home Security Systems Market : Technology Advancements, Industry Insights, Trends And Forecast 2033

The smart home security systems global market report 2024 from The Business Research Company provides comprehensive market statistics, including global market size, regional shares, competitor market share, detailed segments, trends, and opportunities. This report offers an in-depth analysis of current and future industry scenarios, delivering a complete perspective for thriving in the industrial automation software market.

Smart Home Security Systems Market, 2024 report by The Business Research Company offers comprehensive insights into the current state of the market and highlights future growth opportunities.

Market Size - The smart home security systems market size has grown rapidly in recent years. It will grow from $58.34 billion in 2023 to $63.30 billion in 2024 at a compound annual growth rate (CAGR) of 8.5%.  The growth in the historic period can be attributed to rise of smartphones, IoT integration, cloud computing, machine learning in video analytics, consumer awareness and adoption.

The smart home security systems market size is expected to see rapid growth in the next few years. It will grow to $89.81 billion in 2028 at a compound annual growth rate (CAGR) of 9.1%.  The growth in the forecast period can be attributed to artificial intelligence and deep learning, integration with voice assistants, biometric authentication, and cybersecurity focus. Major trends in the forecast period include integration with artificial intelligence (AI), interoperability and standardization, edge computing, biometric authentication, and environmental sensors for health and safety.

Order your report now for swift delivery @ https://www.thebusinessresearchcompany.com/report/smart-home-security-systems-global-market-report

The Business Research Company's reports encompass a wide range of information, including:

1. Market Size (Historic and Forecast): Analysis of the market's historical performance and projections for future growth.

2. Drivers: Examination of the key factors propelling market growth.

3. Trends: Identification of emerging trends and patterns shaping the market landscape.

4. Key Segments: Breakdown of the market into its primary segments and their respective performance.

5. Focus Regions and Geographies: Insight into the most critical regions and geographical areas influencing the market.

6. Macro Economic Factors: Assessment of broader economic elements impacting the market.

Market Drivers - The growing crime rates are expected to fuel the growth of the smart home security systems market going forward. Crime refers to unlawful activities or acts that violate legal norms, while crime rates indicate the frequency or incidence of these unlawful activities within a specific population or geographic area. Growing crime rates may be attributed to various factors, such as economic inequality, social unrest, and inadequate law enforcement. Smart home security systems deter crime by providing real-time monitoring, automated alerts, and remote control, enhancing overall home protection. Visible security elements, such as outdoor cameras, can actively deter criminals by signaling that the property is well protected. For instance, in October 2023, according to the Federal Bureau of Investigation, a US-based national security organization, property crime incidents in the United States increased from 671,648 to 847,522 between 2021 and 2022, representing a significant percentage increase of approximately 26.2%. Therefore, the growing crime rates are driving the growth of the smart home security systems market.

Market Trends - Major companies operating in the smart lecture capture systems market are developing innovative solutions, such as all-in-one lecture capture and auto-tracking solutions, to meet the increasing demand for flexible, engaging, and productive learning and work environments. This solution is a comprehensive technology system designed to enhance information sharing and collaboration in educational and corporate environments. For instance, in February 2022, Panasonic Holdings Corporation, a Japan-based electronics corporation, introduced an all-in-one lecture capture and auto-tracking solution to enhance information sharing and collaboration. This solution allows users to capture, orchestrate, and deliver transformative, shared experiences for in-person and virtual learning environments. The lecture capture solution delivers an unforgettable online learning experience, with more pathways for students to listen, comprehend, and engage with the content. Additionally, it includes features such as auto-tracking capabilities, content, and video management capabilities, hybrid capabilities, compatibility with professional audio systems, and flexible packages.

The smart home security systems market covered in this report is segmented –

1) By Component: Hardware, Software, Service 2) By Device Type: Smart Alarms, Smart Locks, Smart Sensors And Detectors, Smart Camera And Monitoring System, Other Device Types 3) Types Of Homes: Independent Homes, Apartment, Condominiums

Get an inside scoop of the smart home security systems market, Request now for Sample Report @ https://www.thebusinessresearchcompany.com/sample.aspx?id=14799&type=smp Regional Insights - North America was the largest region in the smart home security systems market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the smart home security systems market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

Key Companies - Major companies operating in the smart home security systems market are Siemens AG, General Electric Company, Panasonic Corporation, Mitsubishi Electric Corporation, Schneider Electric SE, Honeywell International Inc., ABB Ltd., Daikin Industries Ltd., Toshiba Corporation, Johnson Controls International plc, Carrier Global Corporation, Koninklijke Philips N.V., Trane Technologies plc, Emerson Electric Co., Legrand S.A., Osram GmbH, Acuity Brands Inc., Itron Inc., Vivint Inc., Cree Inc., Canary Connect Inc., Frontpoint Security Solutions LLC, Pacific Controls Inc., Abode Systems Inc., SimpliSafe Inc.

Table of Contents 1. Executive Summary 2. Smart Home Security Systems Market Report Structure 3. Smart Home Security Systems Market Trends And Strategies 4. Smart Home Security Systems Market – Macro Economic Scenario 5. Smart Home Security Systems Market Size And Growth ….. 27. Smart Home Security Systems Market Competitor Landscape And Company Profiles 28. Key Mergers And Acquisitions 29. Future Outlook and Potential Analysis 30. Appendix

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[desysabrina]

Compulsory Question 1:

Q1: Of what we have learned to create our own quotes but we have seemed to be stuck on how we wanted to express them. So, here’s my take to rephrase:

You Are What To Create: It means for all subjects, you can draw out anything but as long as it is your work and not somebody else’s work. As long as you want to reference it, it will give us ideas to generate an image of what you wanted to show the lecturers that we have been created without using Artificial Intelligence.

Take A Moment To Relax Your Mind: Whenever you have a lot of stress and doubts that the work is not good enough or if it’s too much to handle, your mind needs to rest from all the worries and expectations that are set too high. It’s best to take a break and also, set up a To-Do List to check which one is the most important to finish it up on time, depending on the deadline that needs to be submitted.

And this is my group’s respond:

To Find Out Who You Are And Who You Want To Be: Not so sure of who you are and what you have been doing in your life is making you feel lost in thought and wondering if your own character is the real you… It takes time to process to look yourself in the mirror and see if this is actually you, judging by the hidden facade.

Q2: Personally, yes. Even though I’m not as talkative as I used to be, I also want the group to try and express themselves. No matter what it is, it’s alright to have a bit of a hidden facade to fit in the group to talk to one another.

Q3: Personally, it’s Week 10. What I wanted to be for the next 5 years has so much potential of what is the best role for me to be when I’m taking down notes of my own strengths and weaknesses. Wanting to be a Character Designer, 2D Concept Artist, Video Editor or even a hidden skill of mine, is wanting to be a Voice Actor.

Q4: What I have in mind during Illustration is where we're discussing and creating an art piece that it needs to send to Bacio Collective. This is my piece called Friends Through Media. It’s about two friends, connecting throughout the years using Social Media from old to new technology.

Overall, it was a tough time for me since my mind is filled with a lot of expectations and ideas of wanting this to be the right design but doing it as a simplicity makes me feeling worried that this is not good enough to submit.

(458 Words)

[maliayib0001]

Programming Success: Your Pathway to an Online MCA

In an age dominated by technology, the demand for skilled software developers, data scientists, and IT professionals continues to grow. As the digital world expands, so do opportunities for those with the right expertise. If you’re ready to take your tech career to the next level, an Online MCA (Master of Computer Applications) offers a flexible and comprehensive pathway to mastering the advanced skills needed for success in today’s fast-evolving tech landscape.

A Curriculum for the Future of Technology

The Online MCA program is designed to provide a thorough understanding of computer science and its applications, focusing on the latest technologies and industry trends. Whether you want to specialize in software development, data analytics, cybersecurity, or artificial intelligence, our program offers the foundation and advanced knowledge necessary to excel in these fields.

The core curriculum covers essential topics such as programming languages, data structures, database management systems, networking, cloud computing, and software engineering. Beyond the basics, the program dives into more specialized areas like machine learning, big data, mobile app development, and web technologies, giving you the ability to innovate and stay ahead of the curve.

Our Online MCA also emphasizes the practical application of knowledge, providing hands-on experience with real-world projects, coding exercises, and collaborative assignments. You’ll learn to not only understand theoretical concepts but to implement them in building software solutions that solve real-world problems.

Flexibility That Fits Your Life

One of the standout features of our Online MCA program is its flexibility. Designed for working professionals, students, and anyone seeking to enhance their technical skillset, the program offers the freedom to study at your own pace. With an asynchronous learning format, you can access course materials, participate in discussions, and complete assignments when it fits your schedule—without sacrificing the quality of your education.

Our online platform is intuitive and user-friendly, allowing you to engage with course content and collaborate with peers and instructors from anywhere in the world. Virtual classrooms, video lectures, and interactive forums ensure that you’re not just learning in isolation, but are actively participating in a vibrant digital community.

Real-World Experience and Career Advancement

What sets the Online MCA apart is its focus on practical, real-world learning. Our program is built to ensure that you graduate with more than just theoretical knowledge. Through industry projects, case studies, and internships, you’ll have the opportunity to apply your skills in live, dynamic environments, working on challenges faced by companies today. This hands-on experience allows you to build a portfolio of work that will impress future employers.

In addition, our Career Services team is dedicated to helping you leverage your new skills for career advancement. Whether you’re seeking a promotion in your current role, transitioning to a new career in IT, or starting your own tech venture, we provide personalized support. From resume-building and interview coaching to job placement assistance, we ensure you’re fully prepared to succeed in the competitive tech industry.

Become a Leader in the Digital World

With the rise of new technologies such as artificial intelligence, blockchain, and cloud computing, the need for skilled IT professionals has never been greater. Completing an Online MCA program equips you with the technical expertise and critical thinking skills needed to thrive in this digital age. You’ll not only master the art of programming, but also develop the leadership abilities to drive innovation, manage teams, and solve complex challenges.

By choosing the Online MCA, you’re taking a step toward programming success—gaining the skills, confidence, and real-world experience to succeed in the tech-driven world of tomorrow. Empower yourself with the knowledge and tools to become a leader in the field of computer applications. Your journey to a successful career in technology starts here.

[legacyias1]

How Bangalore Balances High-Tech Learning with Traditional UPSC Coaching Methods

When it comes to preparing for the UPSC exams, Bangalore has built a reputation as a go-to destination for aspirants nationwide. The city hosts a variety of reputable institutions, including Legacy IAS Academy, which is known for seamlessly integrating advanced technology with time-tested coaching methods. This blend of innovation and tradition makes the city's UPSC coaching in Bangalore distinctive and highly effective.

In today’s rapidly evolving educational landscape, coaching centers are incorporating high-tech solutions such as digital classes, online mock tests, and AI-driven study aids alongside traditional teaching methods. Let’s explore how the best UPSC coaching in Bangalore is setting a benchmark for balanced, innovative learning.

The Role of Technology in Modern UPSC Preparation

Bangalore has long been associated with technological advancement, and it’s no surprise that this high-tech influence has extended to civil services coaching as well. Institutes like Legacy IAS Academy are at the forefront, using cutting-edge tools to make learning more efficient. Here’s how technology is enhancing IAS coaching in Bangalore:

Digital Classrooms and Interactive Learning Gone are the days when students had to rely solely on textbooks and handouts. Today’s UPSC coaching centers in Bangalore utilize digital classrooms where concepts are explained through interactive videos, presentations, and 3D models. These resources help students grasp complex topics in a more engaging and accessible manner.

Online Resources and Mobile Apps With mobile apps and online platforms, aspirants can access study materials, recorded lectures, and current affairs updates anytime, anywhere. Many UPSC coaching in Bangalore programs also offer personalized study plans and real-time feedback through digital platforms, giving students the flexibility to learn at their own pace.

AI and Data-Driven Insights Some top-tier coaching centers are incorporating artificial intelligence to analyze students' progress. Through AI-driven insights, students can identify their strengths and weaknesses, allowing them to focus on areas that need improvement. These insights make IAS coaching in Bangalore uniquely adaptable to each individual’s needs, improving their chances of success.

The Value of Traditional Teaching Methods

While technology is revolutionizing education, traditional teaching methods remain invaluable. The best UPSC coaching in Bangalore recognizes the importance of one-on-one mentorship, time-tested exam strategies, and structured classroom discussions.

Experienced Mentorship Legacy IAS Academy, for example, provides a team of experienced mentors who guide students through every step of their preparation. Unlike digital solutions, mentors offer personalized advice, moral support, and deep insights into the UPSC exam process. This human touch often makes a significant difference in a student’s confidence and commitment.

Structured Study Material and Routine For UPSC aspirants, a disciplined study routine is crucial. Traditional classroom settings in IAS coaching in Bangalore help students maintain focus and accountability, which can be harder to achieve in a fully digital environment. In addition, printed study materials—such as mock papers, notes, and question banks—allow students to practice more effectively and retain information better.

Group Discussions and Peer Learning Peer learning and group discussions are essential parts of the traditional coaching model. Students benefit from exchanging ideas, debating concepts, and learning from their peers’ perspectives. UPSC coaching in Bangalore often organizes group activities, which enrich students’ learning experiences and improve their ability to think critically—an essential skill for the civil services exam.

Striking the Perfect Balance for Success

The unique combination of high-tech tools and traditional coaching techniques has made Bangalore’s coaching ecosystem a standout. Institutes like Legacy IAS Academy lead the way in offering students the best of both worlds: the accessibility of digital learning with the reliability of in-person instruction.

A well-rounded UPSC preparation plan involves balancing these two approaches. Here’s how top UPSC coaching in Bangalore achieves this balance:

Flexible Learning Options Many coaching centers offer both in-person and online classes, allowing students to choose the format that best suits their needs. Working professionals, for example, can benefit from evening or weekend classes, while full-time aspirants might prefer the in-depth, structured environment of daily classroom sessions.

Digital Self-Assessment and Traditional Feedback Mock tests and quizzes available on digital platforms allow students to practice frequently. However, these are supplemented by detailed feedback from instructors, who help students improve their writing style, analytical skills, and answer structuring techniques.

Comprehensive Curriculum with Real-Time Updates UPSC exams require candidates to stay updated on current affairs and dynamic topics. IAS coaching in Bangalore addresses this by combining online current affairs modules with regular in-class discussions. This dual approach ensures that students stay informed without getting overwhelmed.

Final Thoughts: The Future of UPSC Coaching in Bangalore

As the demand for civil services grows, the best UPSC coaching in Bangalore will likely continue to evolve, blending technology with tradition. For students, this balanced approach means they can access the flexibility and depth of resources available online while benefiting from the expertise and guidance of seasoned mentors.

With institutes like Legacy IAS Academy at the forefront, Bangalore has become a beacon of balanced learning for UPSC aspirants. This modern yet grounded approach prepares students not only for the exam itself but also for the challenges they will face as future leaders.

In conclusion, if you’re looking for a city that provides top-tier resources for civil services preparation, Bangalore stands out as a place that merges the best of both high-tech learning and traditional coaching methods, setting you up for success in the UPSC exam.

[wha191]

Week 3: Digital Community: Youtube Case Study

Toxicity

YouTube has solidified its position as a leading platform for online video consumption, serving as both a hub for creativity and a breeding ground for toxic behaviors. This case study examines the complex issue of toxicity on YouTube, focusing on its various manifestations, root causes, and potential solutions.

Toxicity on YouTube manifests in diverse forms, including hate speech, cyberbullying, harassment, and the dissemination of misinformation. These harmful behaviors can have significant repercussions for both content creators and viewers, fostering a hostile atmosphere that undermines the platform's ability to create a positive social impact.

Several factors contribute to the widespread toxicity on YouTube. Algorithm-driven recommendations can amplify harmful content, leading to echo chambers where users are continually exposed to extremist views and false information. Additionally, the platform's anonymity may embolden users to engage in abusive behavior without facing consequences. Furthermore, the monetization of content can incentivize creators to produce sensational or divisive material in order to attract more views and advertising revenue.

Addressing the issue of toxicity on YouTube requires a comprehensive approach. The platform can adopt stricter content moderation policies, utilize artificial intelligence to identify and remove harmful content and invest in educational initiatives that promote responsible online behavior. Viewers can also play a crucial role by reporting toxic content, engaging with positive communities, and fostering a culture of respect and understanding.

The challenge of toxicity on YouTube underscores the necessity for a robust strategy to cultivate a healthier online environment. Through collaborative efforts—among YouTube, content creators, and viewers—it is possible to mitigate the negative impacts of toxicity and fully leverage the platform's potential for positive social change.

References

Atske, S. (2024, October 16). Social media and news fact sheet. Pew Research Center. https://www.pewresearch.org/journalism/fact-sheet/social-media-and-news-fact-sheet/

Obadimu, A., Mead, E., Hussain, M. N., & Agarwal, N. (2019). Identifying toxicity within YouTube video comment. In Lecture notes in computer science (pp. 214–223). https://doi.org/10.1007/978-3-030-21741-9_22

[sunaleisocial]

Artist and designer Es Devlin awarded Eugene McDermott Award in the Arts at MIT

New Post has been published on https://sunalei.org/news/artist-and-designer-es-devlin-awarded-eugene-mcdermott-award-in-the-arts-at-mit/

Artist and designer Es Devlin awarded Eugene McDermott Award in the Arts at MIT

Artist and designer Es Devlin is the recipient of the 2025 Eugene McDermott Award in the Arts at MIT. The $100,000 prize, to be awarded at a gala in her honor, also includes an artist residency at MIT in spring 2025, during which Es Devlin will present her work in a lecture open to the public on May 1, 2025. 

Devlin’s work explores biodiversity, linguistic diversity, and collective AI-generated poetry, all areas that also are being explored within the MIT community. She is known for public art and installations at major museums such as the Tate Modern, kinetic stage designs for the Metropolitan Opera, the Super Bowl, and the Olympics, as well as monumental stage sculptures for large-scale stadium concerts.

“I am always most energized by works I have not yet made, so I am immensely grateful to have this trust and investment in ideas I’ve yet to conceive,” says Devlin. “I’m honored to receive an award that has been granted to so many of my heroes, and look forward to collaborating closely with the brilliant minds at MIT.”

Play video

2025 McDermott Announcement Video: Arts at MIT

“We look forward to presenting Es Devlin with MIT’s highest award in the arts. Her work will be an inspiration for our students studying the visual arts, theater, media, and design. Her interest in AI and the arts dovetails with a major initiative at MIT to address the societal impact of GenAI [generative artificial intelligence],” says MIT vice provost and Ford International Professor of History Philip S. Khoury. “With a new performing arts center opening this winter and a campus-wide arts festival taking place this spring, there could not be a better moment to expose MIT’s creative community to Es Devlin’s extraordinary artistic practice.”

The Eugene McDermott Award in the Arts at MIT recognizes innovative artists working in any field or cross-disciplinary activity. The $100,000 prize represents an investment in the recipient’s future creative work, rather than a prize for a particular project or lifetime of achievement. The official announcement was made at the Council for the Arts at MIT’s 51st annual meeting on Oct. 24. Since it was established in 1974, the award has been bestowed upon 38 individuals who work in performing, visual, and media arts, as well as authors, art historians, and patrons of the arts. Past recipients include Santiago Calatrava, Gustavo Dudamel, Olafur Eliasson, Robert Lepage, Audra McDonald, Suzan-Lori Parks, Bill Viola, and Pamela Z, among others.

A distinctive feature of the award is a short residency at MIT, which includes a public presentation of the artist’s work, substantial interaction with students and faculty, and a gala that convenes national and international leaders in the arts. The goal of the residency is to provide the recipient with unparalleled access to the creative energy and cutting-edge research at the Institute and to develop mutually enlightening relationships in the MIT community.

The Eugene McDermott Award in the Arts at MIT was established in 1974 by Margaret McDermott (1912-2018) in honor of her husband, Eugene McDermott (1899-1973), a co-founder of Texas Instruments and longtime friend and benefactor of MIT. The award is presented by the Council for the Arts at MIT.

The award is bestowed upon individuals whose artistic trajectory and body of work have achieved the highest distinction in their field and indicate they will remain leaders for years to come. The McDermott Award reflects MIT’s commitment to risk-taking, problem-solving, and connecting creative minds across disciplines.

Es Devlin, born in London in 1971, views an audience as a temporary society and often invites public participation in communal choral works. Her canvas ranges from public sculptures and installations at Tate Modern, V&A, Serpentine, Imperial War Museum, and Lincoln Center, to kinetic stage designs at the Royal Opera House, the National Theatre, and the Metropolitan Opera, as well as Olympic ceremonies, Super Bowl halftime shows, and monumental illuminated stage sculptures for large-scale stadium concerts.

Devlin is the subject of a major monographic book, “An Atlas of Es Devlin,” described by Thames and Hudson as their most intricate and sculptural publication to date, and a retrospective exhibition at the Cooper Hewitt Smithsonian Design Museum in New York. In 2020, she became the first female architect of the U.K. Pavilion at a World Expo, conceiving a building which used AI to co-author poetry with visitors on its 20-meter diameter facade. Her practice was the subject of the 2015 Netflix documentary series “Abstract: The Art of Design.” She is a fellow of the Royal Academy of Music, University of the Arts London, and a Royal Designer for Industry at the Royal Society of Arts. She has been awarded the London Design Medal, three Olivier Awards, a Tony Award, an Ivor Novello Award, doctorates from the Universities of Bristol and Kent, and a Commander of the Order of the British Empire award.

[priyanka0905]

How Management Colleges Are Adapting to the Digital Age

The digital age has brought a wave of changes across various sectors, and education is no exception. Management colleges are at the forefront of this transformation, adapting their courses and teaching methods to stay relevant in today’s fast-paced, tech-driven world. Whether it's offering specialised programmes like BBA in Finance, BBA in Marketing, or BBA in HR Management, management colleges in places like Nagpur are embracing digital tools to prepare students for the future.

Integrating Technology in Classrooms

Gone are the days when lectures were just about textbooks and traditional blackboards. Today, management colleges have incorporated digital tools to make learning more interactive and engaging. From smart classrooms to online study materials, technology is used to enhance the student experience. For instance, video lectures, webinars, and digital presentations allow students to grasp complex concepts with ease. These tools also help in making classes more flexible, allowing students to learn at their own pace.

Online Learning Platforms and Digital Courses

The rise of online learning platforms has been a game-changer. Many management colleges in Nagpur and other cities are now offering hybrid programmes where students can attend some classes online while coming to campus for practical sessions. This approach not only saves time but also makes education accessible to students who cannot attend regular classes due to various reasons. Additionally, online modules for BBA in Finance, BBA in Marketing, and BBA in HR Management give students the opportunity to learn from industry experts across the globe, broadening their understanding and perspective.

Use of Data Analytics and Artificial Intelligence

The digital age has also brought data analytics and artificial intelligence (AI) into the fold. Management colleges are using these technologies to improve the learning experience. For example, data analytics can track students' progress and identify areas where they might need extra help, allowing for more personalised learning plans. Similarly, AI is being used to create chatbots that can answer students' queries 24/7, providing instant support. This use of technology makes the educational journey smoother and more efficient.

Preparing for a Digital Future

As the digital era continues to evolve, management colleges must keep up to ensure their students are prepared for the future. From digital courses and online internships to data-driven personalised learning, they are using every tool at their disposal to bridge the gap between traditional education and the modern workplace. Management colleges in Nagpur and other parts of the country are setting a great example of how education can adapt to the digital age.

Conclusion

The integration of digital tools into educational programmes like BBA in Finance, BBA in Marketing, and BBA in HR Management is crucial for preparing students for future challenges. As technology continues to shape the business world, management colleges in places like Nagpur are making sure their students are not just ready but ahead of the curve. By embracing the digital age, they are providing students with the skills and opportunities needed to thrive in a rapidly changing environment.

[woowhouse]

[ Free Course ] 100 Days Of Code: The Complete Python Pro Bootcamp for Mastering Programming Skills

Introduction to 100 Days of Code

Are you ready to revolutionize your programming skills? Enter the 100 Days of Code challenge, a transformative journey that promises to elevate your coding prowess. This widely embraced initiative encourages coders of all levels to dedicate at least an hour a day to coding for 100 consecutive days. The goal? To build a robust habit of consistent learning and practice.

In today's rapidly evolving tech landscape, mastering Python has become more crucial than ever. As one of the most versatile programming languages, Python is not only easy to learn but also incredibly powerful, finding applications in diverse fields such as web development, data science, artificial intelligence, and more.

For Free: Click Here 

The Officiel page : Click Here

Why is Python so significant? Here are a few reasons:

Versatility: From web apps to data analysis, Python does it all.

Community Support: A vast community means abundant resources and support.

Career Opportunities: High demand for Python developers across industries.

This article will dive into the Complete Python Pro Bootcamp, a comprehensive program designed to help you master Python through the 100 Days of Code challenge. Expect to explore the bootcamp's offerings, daily learning structures, community support, and the rich content that will guide you towards becoming a proficient Python developer. Ready to embark on this exciting journey? Let’s get started!

Overview of the Python Pro Bootcamp

The Python Pro Bootcamp is a meticulously crafted program designed to transform beginners into skilled Python developers within 100 days. This bootcamp is an all-encompassing course that covers everything from foundational programming concepts to advanced topics, ensuring a well-rounded learning experience.

What makes this bootcamp stand out? Here's a glimpse into its key features:

Comprehensive Curriculum: Dive into over 300 lectures that cover a wide range of topics.

Interactive Exercises: Engage with over 100 exercises designed to reinforce learning.

Real-World Projects: Gain practical experience through 25 real-world projects that mimic industry scenarios.

The bootcamp emphasizes a hands-on learning approach that prioritizes practical skills development. Each lesson is structured to provide a balanced mix of theory and practice. Participants are encouraged to apply what they've learned through coding challenges and projects that simulate real-world applications.

Feature

Description

Lectures

300+ video tutorials covering key Python concepts.

Exercises

100+ coding challenges to test and improve skills.

Projects

25 projects that provide practical, hands-on experience.

By integrating both theoretical knowledge and practical application, the Python Pro Bootcamp ensures that participants not only learn Python but can also confidently apply it in real-world scenarios. Whether you're new to programming or looking to enhance your skills, this bootcamp is your gateway to mastering Python.

Daily Learning Structure

The 100 Days of Code Python Pro Bootcamp is strategically designed to maximize your learning potential, offering a consistent and structured approach to mastering Python. Each day's lesson is crafted to be both informative and engaging, ensuring that you remain motivated and focused throughout your 100-day journey.

Daily Structure:

Video Tutorials: Start each day with a concise, expertly crafted video tutorial that breaks down complex topics into easy-to-understand segments.

Coding Challenges: Apply what you've learned immediately through hands-on coding challenges that reinforce your understanding and build confidence.

Quizzes: Test your knowledge with quick quizzes that help solidify your grasp of key concepts.

Consistency is the cornerstone of the bootcamp's success. By dedicating just one hour a day to learning, you'll be amazed at the progress you can achieve. This approach not only prevents burnout but also helps solidify concepts through regular practice.

Sample Weekly Schedule:

Day

Activity

Focus

Monday

Video Tutorial & Coding Challenge

Variables & Data Types

Tuesday

Video Tutorial & Quiz

Conditional Statements

Wednesday

Coding Challenge

Loops

Thursday

Video Tutorial & Coding Challenge

Functions

Friday

Project Work

Mini Project Implementation

Saturday

Review & Practice

Recap of the Week

Sunday

Rest & Reflect

Prepare for Next Week

By following this structured routine, you'll witness significant improvement in your programming skills, making the journey both rewarding and transformative. Remember, consistency is key, and the journey of becoming a Python pro is just one hour away each day!

Course Content Breakdown

The 100 Days of Code Python Pro Bootcamp offers a meticulously crafted curriculum that takes you from a Python novice to a proficient developer. Here's a sneak peek into the essential concepts and advanced topics covered throughout the course:

Essential Concepts:

Variables & Data Types: Learn to store and manipulate data effectively using Python's versatile data types.

Conditional Statements: Master decision-making in your code with if-else statements and logical operators.

Loops: Automate repetitive tasks efficiently by harnessing the power of for and while loops.

Functions: Build modular and reusable code with user-defined functions and built-in methods.

Advanced Topics:

Web Development: Dive into creating dynamic websites using popular frameworks like Flask and Django.

Data Analysis: Unlock insights from data with libraries such as Pandas and NumPy.

Machine Learning: Embark on your ML journey with hands-on projects using Scikit-learn and TensorFlow.

Throughout the bootcamp, you'll become proficient in using various libraries and frameworks that are essential in the tech industry:

Pandas - For data manipulation and analysis.

NumPy - For numerical computations and handling arrays.

Flask - To develop lightweight web applications.

Django - For building robust web applications with a full-stack framework.

Scikit-learn - For implementing machine learning algorithms.

TensorFlow - For deep learning projects and neural networks.

By the end of the bootcamp, you'll not only have a solid grasp of these concepts and tools but also the confidence to tackle real-world projects with ease. Embrace the challenge and unlock your potential as a Python developer!

Community and Support

One of the standout features of the 100 Days of Code Python Pro Bootcamp is its vibrant and supportive community. Learning to code can be challenging, but with a network of fellow learners and experienced instructors, you'll never feel alone on your journey to mastering Python.

Engagement with Instructors and Peers:

Interactive Q&A Sessions: Participate in regular live sessions where you can ask questions and receive real-time feedback from industry experts.

Peer Collaboration: Connect with like-minded learners to collaborate on projects, share insights, and motivate each other to stay on track.

Additional Resources:

Forums: Access dedicated forums where you can discuss topics, share resources, and seek advice from the community.

Study Groups: Join study groups tailored to different skill levels, ensuring you receive targeted support and peer-to-peer learning opportunities.

With such a robust support system, you can confidently tackle challenges and achieve your coding goals. As one participant put it, "The community aspect of the bootcamp was a game-changer for me. Having a group of supportive peers and mentors made all the difference."

Benefits of Completing the Bootcamp

Embarking on the 100 Days of Code Python Pro Bootcamp is more than just a learning journey—it's a transformative experience that arms you with essential skills and boosts your confidence as a Python developer.

Skills Gained

Confidence Boost

Master core concepts like variables, loops, and functions.

Feel prepared to tackle complex coding challenges with ease.

Learn to build applications using popular frameworks like Flask and Django.

Gain the confidence to contribute to open-source projects.

Develop proficiency in data analysis with Pandas and NumPy.

Approach real-world problems with a problem-solving mindset.

Upon completing the bootcamp, the world of career opportunities opens up to you:

Software Developer: Apply for roles in top tech companies.

Data Analyst: Leverage your data skills in industries like finance and healthcare.

Web Developer: Create dynamic web applications for startups or established firms.

Participants have gone on to achieve remarkable success. As one thrilled alumnus shared, "Completing the bootcamp was a pivotal moment in my career. It equipped me with the skills and confidence to secure a job as a Junior Developer at a leading tech company."

Getting Started with the Bootcamp

Ready to embark on an exciting journey of mastering Python? Enroll now in the 100 Days of Code Python Pro Bootcamp and transform your programming skills in just 100 days!

Key Information

Details

Pricing

Flexible payment plans starting at just $299. Early bird discounts available!

Enrollment Process

Simple three-step process:

Visit our official website.

Fill out the registration form.

Secure your spot by completing the payment.

Prerequisites

No prior coding experience required. A passion for learning is all you need!

We stand by the quality of our bootcamp with a 30-day money-back guarantee if you're not satisfied. Plus, enjoy unparalleled support with access to dedicated mentors and study groups to guide you every step of the way.

Don’t miss this opportunity to join a community of like-minded learners and take the first step towards becoming a proficient Python developer. Enroll today and unlock your potential!

Conclusion

As we wrap up this exciting journey through the 100 Days of Code: Python Pro Bootcamp, let's revisit the key points that make this program a transformative experience:

Comprehensive Learning: Over 300 lectures, 100 exercises, and 25 real-world projects to solidify your Python skills.

Hands-On Approach: Daily lessons with video tutorials, coding challenges, and quizzes to reinforce your knowledge.

Supportive Community: Engage with fellow learners and experienced instructors for motivation and feedback.

Career-Ready Skills: Master essential concepts and advanced topics like web development, data analysis, and machine learning.

The 100 Days of Code challenge is not just a program—it's a commitment to self-improvement and a brighter future in tech. By dedicating just an hour a day, you'll gain the confidence and skills needed to tackle complex projects and open doors to new career opportunities.

So why wait? Take the leap and start your journey to becoming a proficient Python developer today. Remember, every expert was once a beginner who took that first step. Join us, and watch your programming skills soar!