#Nvidia data tracking

[munaeem]

Who’s Spying on You the Most? Microsoft, Google, Nvidia, or Steam? Let’s Find Out!

Hey everyone! Let’s talk about something we all know but don’t always think about: tech companies spying on us. Yeah, it’s no secret that our devices and apps are constantly collecting data, but have you ever wondered who’s doing it the most? Is it Microsoft? Google? Nvidia? Steam? Or maybe even EA? I decided to run a little experiment to find out, and the results were… eye-opening. The…

[evol-astraea]

Desperate PC Tenno calling for help!

Calling all the tech-savvy players here on Tumblr who may hopefully lend me and tech support a hand. Yes, the situation is that bad. More under the cut to spare a lengthy wall of text!

I've been experiencing totally random and sudden crashes with WF since a month and half, by now.

The game first freezes for less than a minute, then crashes to desktop bringing up the window to report crashes. This happens literally anywhere and anytime in the game. During mission, at the end of the mission, while idling in the Orbiter/base of operations, sitting in the pause menu, checking the settings menu. All kind of possible scenarios. Ah, and DX11 or DX12 make no difference either.

It's driving me - and tech support - insane. Because it is so HARD to pinpoint the root cause! Every log file so far has reported some kind of General Protection Failure (GPF) error followed by different numbers.

I'm running the game on a brand new, pre-built computer from Megaport. Which I moved to from my old potato of a PC back in late November. Specs are the following: Windows 11 Home (build 24H2) Intel Core I7-12700KF, 8x 3.60 Ghz + 4x 2.70 Ghz ASUS Prime Z790-A Wifi DDR5 NVidia GeForce RTX 4070 Dual Palit 12GB 2x 32GB Corsair Vengeance RGB DDR5-6000 1 TB SSD 1000 Watt PSU

I have done everything tech support has suggested me to do and: - Uninstalled and re-installed the game, - Update drivers. Being a new computer, everything is pretty much up to date. I had to do a clean install for the GPU drivers only using DDU, though, - Verified game files, - Emptied the shader cache on the drive game is saved to, - Repaired Steam library, - Lowered graphic settings, - Attempted to launch and run Warframe in Clean Boot mode to exclude background programs/services <- unsuccessfully; Steam didn't work at all (which I kind of figured would happen) and trying to launch the game straight from the launcher...triggered a download of the game files in the App Data folder on main (C) drive. O_o The random crashes don't even appear in the Windows Event Viewer. Nowhere to be found. And believe me, I have looked into every single category. I've been keeping track of the time(s) of the crashes but, alas, found nothing that could possibly be related to those. (also, I'm not a computer expert so perhaps I'm doing things wrong)

So far, the only weird thing I've noticed is...Most of the times there seemingly is a "break" in between each series of crashes. A few days at worst, 10-12 days at best. Yes, I checked even the Task Scheduler utility on Windows. Found no program/app that runs automatically that matches with the timing/days when the crashes have occurred so far.

Really losing my mind to this. It's frustrating, it's unnerving, it's making me genuinely terrified of playing the game. And the reason I got this PC in the first place was being finally able to play my favorite game without worrying about being unable to because of my old (and obsolete) machine! Because I don't know when the next crash shall decide to happen and oh boy it's gonna be so fun losing progress. Or having a couple of players reasonably angry at me for suddenly poofing as host. I'm really sorry about that, folks.

I'm already considering the option of total formatting this computer, should there be no other way. But not before entirely giving up. And maybe make things a little less complicated for tech support team.

I can't thank these guys enough for their help and most importantly patience over the past month and half. This mess has been handed to three different people already and a solution hasn't been found yet.

So, if there are fellow Tenno on Tumblr who have either experienced something like this before and found a fix or are just more knowledgeable about computers and whatnot, your help would be GREATLY appreciated. ;.;

EDIT: I forgot to mention a few important things! - Hardware temperatures are within optimal range while in game (CPU never above 65°C, GPU has been running ice cold and has rarely exceeded 50°C so far, RAM is chilling at 45°C average). - GPU memory usage averages around at max (peak) 77% on HWInfo. - CPU usage I honestly need to check! D: - Ran disk cleanup, scans with sfc, chkdsk and DISM (all through command prompts ran as admin) and no issues were found. - Checked RAM health as well with Windows' memory diagnostic tool. However, it seems to give many false positives even on perfectly functional RAM banks. Looking for a more reliable alternative. - Warframe is the only game that keeps crashing on this PC. I haven't been getting any with other games/programs (Hades II; need to test how Ultrakill performs) or any warning signs (BSODs, freezes, sluggish PC, etc) that could suggest hardware failure.

[posttexasstressdisorder]

CNN 3/29/2025

BusinessInvesting• 5 min read

Dow closes more than 700 points lower and the S&P 500 is on track for its worst quarter since 2022

By John Towfighi, CNN

Updated: 4:04 PM EDT, Fri March 28, 2025

Source: CNN

US stocks tumbled Friday and a broad selloff gripped Wall Street as investors digested slightly stubborn inflation data and weakening consumer sentiment while wrestling with continued tariff anxiety.

The Dow tumbled and closed lower by 716 points, or 1.7%. The broader S&P 500 fell 1.97% and the Nasdaq Composite slid 2.7%. The slide on Friday put all three major indexes in the red for this week.

The S&P 500 is down more than 5% this year. The benchmark index is on track for its first losing quarter since September 2023 and its worst quarter since September 2022.

US stocks opened the day lower and began to slide as data from the Commerce Department showed inflation in February remained slightly sticky.

The Personal Consumption Expenditures index rose 2.5% year-over-year in February, unchanged from January and matching expectations. Yet the core PCE index, which strips out volatile categories like food and energy, ticked up to 2.8% year-over-year from 2.7% in January. That hotter-than-expected rise signals that inflation, while broadly cooling, remains above the Fed’s target of 2%.

Meanwhile, consumer sentiment tanked 12% this month, according to the University of Michigan’s latest survey released Friday.

The selloff gradually turned into a rout as investors dumped stocks in industries including technology, autos and airlines. Google (GOOG) slid 4.9%, Stellantis (STLA) slid 4% and Delta Air Lines (DAL) slid 5%.

Lululemon (LULU) stock tumbled 14% on Friday after the company flagged concerns about the outlook for consumer spending on a call with investors.

“We also believe the dynamic macro environment has contributed to a more cautious consumer,” said Calvin McDonald, chief executive at Lululemon.

The selloff in major names wasn’t the only concern for investors. CoreWeave (CRWV), an AI venture backed by chip giant Nvidia (NVDA), had a disappointing debut on the Nasdaq Friday, offering a bleak outlook for both the prospects of a continued AI boom and the market for initial public offerings.

CoreWeave had listed its IPO at $40, which was below its target range of $47 to $55, according to the Wall Street Journal. However, the stock began trading on Friday at $39, below that IPO price.

The poor debut is a sign of cooling enthusiasm for AI as investors continue to debate whether the money being poured into the industry is worth it. It also offers a meager outlook for IPOs this year as markets struggle to look past headwinds from tariffs.

Tariff anxiety continues to roil markets

President Donald Trump’s tariff proposals have also clouded investor sentiment and stoked uncertainty on Wall Street.

Investors continued to grapple with Trump’s announcement on Wednesday of 25% tariffs on all cars shipped into the US, set to go into effect April 3. Trump also announced tariffs on car parts like engines and transmissions, set to take effect “no later than May 3,” according to the proclamation he signed.

Investors sold off stocks amid renewed anxiety about the impact of auto tariffs on the economy. Tariffs are a tax on imported goods, and economists expect Trump’s sweeping tariff proposals will cause an increase in consumer prices and drag on economic growth.

“It’s natural for people to expect higher prices because we haven’t seen a trade war like this since McKinley,” Art Hogan, chief market strategist at B. Riley Wealth Management, told CNN’s Matt Egan.

The yield on the 10-year Treasury note fell to 4.26% as investors snapped up government bonds, highlighting a risk-averse sentiment amid tariff uncertainty.

Wall Street’s fear gauge, the Cboe Volatility Index, or VIX, surged 16%. CNN’s Fear and Greed Index ticked into “extreme fear” territory, highlighting renewed anxiety among investors.

The tariffs on autos are an escalation in a trade war with the US’ biggest trading partners, threatening to roil global markets and disrupt a deeply intertwined supply chain across North America.

“While the economy appears solid, business executives are adopting a cautious stance on new investments, largely due to the Trump administration’s aggressive and unpredictable tariff policy,” said Matt Stephani, president of Cavanal Hill Investment Management, in an email.

Trump’s decision to announce the tariffs on autos ahead of the April 2 deadline when reciprocal tariffs are set to be revealed — a date dubbed “Liberation Day” by the Trump administration — has caused unease in markets. The early announcement highlights Trump’s commitment to tariffs, testing some investors’ initial hope that they might only be a negotiating tactic.

“We think the proposed tariffs as announced would deliver a big hit to the auto industry, stoking higher costs, higher prices and a sharp decline in US sales,” said Solita Marcelli, chief investment officer for the Americas at UBS Global Wealth Management, in a note Thursday.

“[The] question is what these very aggressive automotive tariffs signal for next week’s announcement on both reciprocal and ex-auto sector tariffs,” Marcelli added.

Wall Street’s outlook sours

Wall Street’s expectations for US stocks this year are being revised down amid continued announcements about tariffs.

Analysts at UBS on Friday trimmed their year-end target for the S&P 500 to 6,400 from 6,600.

Analysts at Barclays this week lowered their year-end target for the S&P 500 to 5,900 from 6,600. Goldman Sachs earlier this month lowered its year-end target to 6,200 from 6,500.

Ed Yardeni, president of investment advisory Yardeni Research, recently lowered his year-end target to 6,400 from 7,000.

Meanwhile, the most actively traded gold futures contract in New York on Friday surged above a record high $3,100. Gold is considered a safe haven amid economic turmoil and a hedge against potential inflation.

Goldman Sachs this week revised its year-end target for gold prices to $3,300, up from $3,100, underscoring how the yellow metal’s rise this year is expected to last amid economic and geopolitical uncertainty.

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[govindhtech]

NVIDIA AI Workflows Detect False Credit Card Transactions

A Novel AI Workflow from NVIDIA Identifies False Credit Card Transactions.

The process, which is powered by the NVIDIA AI platform on AWS, may reduce risk and save money for financial services companies.

By 2026, global credit card transaction fraud is predicted to cause $43 billion in damages.

Using rapid data processing and sophisticated algorithms, a new fraud detection NVIDIA AI workflows on Amazon Web Services (AWS) will assist fight this growing pandemic by enhancing AI’s capacity to identify and stop credit card transaction fraud.

In contrast to conventional techniques, the process, which was introduced this week at the Money20/20 fintech conference, helps financial institutions spot minute trends and irregularities in transaction data by analyzing user behavior. This increases accuracy and lowers false positives.

Users may use the NVIDIA AI Enterprise software platform and NVIDIA GPU instances to expedite the transition of their fraud detection operations from conventional computation to accelerated compute.

Companies that use complete machine learning tools and methods may see an estimated 40% increase in the accuracy of fraud detection, which will help them find and stop criminals more quickly and lessen damage.

As a result, top financial institutions like Capital One and American Express have started using AI to develop exclusive solutions that improve client safety and reduce fraud.

With the help of NVIDIA AI, the new NVIDIA workflow speeds up data processing, model training, and inference while showcasing how these elements can be combined into a single, user-friendly software package.

The procedure, which is now geared for credit card transaction fraud, might be modified for use cases including money laundering, account takeover, and new account fraud.

Enhanced Processing for Fraud Identification

It is more crucial than ever for businesses in all sectors, including financial services, to use computational capacity that is economical and energy-efficient as AI models grow in complexity, size, and variety.

Conventional data science pipelines don’t have the compute acceleration needed to process the enormous amounts of data needed to combat fraud in the face of the industry’s continually increasing losses. Payment organizations may be able to save money and time on data processing by using NVIDIA RAPIDS Accelerator for Apache Spark.

Financial institutions are using NVIDIA’s AI and accelerated computing solutions to effectively handle massive datasets and provide real-time AI performance with intricate AI models.

The industry standard for detecting fraud has long been the use of gradient-boosted decision trees, a kind of machine learning technique that uses libraries like XGBoost.

Utilizing the NVIDIA RAPIDS suite of AI libraries, the new NVIDIA AI workflows for fraud detection improves XGBoost by adding graph neural network (GNN) embeddings as extra features to assist lower false positives.

In order to generate and train a model that can be coordinated with the NVIDIA Triton Inference Server and the NVIDIA Morpheus Runtime Core library for real-time inferencing, the GNN embeddings are fed into XGBoost.

All incoming data is safely inspected and categorized by the NVIDIA Morpheus framework, which also flags potentially suspicious behavior and tags it with patterns. The NVIDIA Triton Inference Server optimizes throughput, latency, and utilization while making it easier to infer all kinds of AI model deployments in production.

NVIDIA AI Enterprise provides Morpheus, RAPIDS, and Triton Inference Server.

Leading Financial Services Companies Use AI

AI is assisting in the fight against the growing trend of online or mobile fraud losses, which are being reported by several major financial institutions in North America.

American Express started using artificial intelligence (AI) to combat fraud in 2010. The company uses fraud detection algorithms to track all client transactions worldwide in real time, producing fraud determinations in a matter of milliseconds. American Express improved model accuracy by using a variety of sophisticated algorithms, one of which used the NVIDIA AI platform, therefore strengthening the organization’s capacity to combat fraud.

Large language models and generative AI are used by the European digital bank Bunq to assist in the detection of fraud and money laundering. With NVIDIA accelerated processing, its AI-powered transaction-monitoring system was able to train models at over 100 times quicker rates.

In March, BNY said that it was the first big bank to implement an NVIDIA DGX SuperPOD with DGX H100 systems. This would aid in the development of solutions that enable use cases such as fraud detection.

In order to improve their financial services apps and help protect their clients’ funds, identities, and digital accounts, systems integrators, software suppliers, and cloud service providers may now include the new NVIDIA AI workflows for fraud detection. NVIDIA Technical Blog post on enhancing fraud detection with GNNs and investigate the NVIDIA AI workflows for fraud detection.

Read more on Govindhtech.com

[groovy-computers]

🔍 Can Malaysia balance tech growth with global security? The U.S. is pressuring Malaysia to monitor high-tech exports of Nvidia AI chips, aiming to prevent their diversion to China. With concerns about these chips enhancing China's military AI, a joint task force led by ministers Zafrul Aziz and Gobind Singh Deo has been formed to tighten data center oversight and ensure compliance with U.S. export controls 🌐. Malaysia faces challenges in tracking complex supply chains while striving to maintain its role as a semiconductor hub, home to over $25B investments from Nvidia and Microsoft. Can Malaysia strengthen oversight without hindering its tech prominence? Let us know your thoughts! #Nvidia #Malaysia #TechIndustry #USChinaRelations #Semiconductor #DataCenter #AI #GlobalSecurity #ExportCompliance #TechInvestments

[sharon-ai]

AI Meets Sustainability: Sharon AI & New Era Helium’s 250 MW Data Center

A Game-Changer for AI and Sustainable Energy

In a bold move toward sustainable, high-performance computing, Sharon AI and New Era Helium are developing a massive 250 MW net-zero data center in the heart of Texas’ Permian Basin. This project represents a major leap forward, proving that cutting-edge AI technology and clean energy can go hand in hand.

Expanding to Meet Growing AI Demands

What started as a 90 MW facility quickly scaled up to 250 MW due to increasing demand from companies seeking powerful and sustainable data solutions. The rapid expansion underscores the growing need for eco-friendly,high-performance computing (HPC) infrastructure that can handle AI workloads efficiently.

Key Milestones Shaping the Project

A Strong Foundation: Sharon AI and New Era Helium signed a binding Letter of Intent (LOI), marking the official start of their collaboration.

Choosing the Right Location: The Permian Basin was selected for its abundant natural gas resources, ensuring a reliable and sustainable power supply.

Next Steps: The final joint venture agreement is on track to be completed by December 23, 2024.

Stable Energy Supply: A fixed-cost energy agreement guarantees price stability for five years, with the option to extend up to 15 years.

The Perfect Blend: AI Innovation Meets Clean Energy

This partnership is about more than just building another data center—it’s about rethinking how we power AI. The facility will provide the high-performance infrastructure needed to support AI training, deep learning, and large-scale computing, all while maintaining a strong commitment to sustainability.

Will Gray II, CEO of New Era Helium, shared his excitement: “This isn’t just about energy. It’s about creating the foundation for a smarter, more efficient digital future.”

Sharon AI: Pushing the Boundaries of Data Center Technology

Sharon AI is leading the charge in designing and managing this next-generation facility. With advanced liquid-cooling technology and Tier III infrastructure, the data center will be optimized for AI workloads. Partnering with industry giants like NVIDIA and Lenovo, Sharon AI ensures seamless, high-speed performance for businesses relying on AI-driven solutions.

Wolf Schubert, CEO of Sharon AI, put it best: “This project is a huge step forward in sustainable AI infrastructure. We’re bringing together the best technology and energy solutions to create something truly groundbreaking.”

New Era Helium: Powering the Future Sustainably

New Era Helium is making sure that powering this data center doesn’t come at the cost of the environment. Their approach includes constructing a state-of-the-art gas-fired power plant with built-in carbon capture technology, reducing emissions while maintaining energy efficiency.

By locking in a long-term energy deal, the project ensures cost predictability and a steady, sustainable power supply—critical elements for businesses that depend on high-performance computing.

Why Texas’ Permian Basin?

The Permian Basin isn’t just rich in natural gas—it’s also an ideal location for large-scale data centers. With the necessary energy infrastructure already in place, the region offers a unique opportunity to build a truly sustainable AI-powered computing hub. The project is expected to attract major enterprises looking for reliable, cost-effective, and eco-friendly computing solutions.

A New Era for AI and Green Data Centers

Sharon AI and New Era Helium’s 250 MW net-zero data center is more than just another tech project—it’s a glimpse into the future of AI computing. With sustainability at its core and the latest innovations driving performance, this facility is poised to set a new industry standard.

With the joint venture agreement expected to wrap up by December 23, 2024, this initiative is well on its way to becoming a global leader in AI-powered, energy-efficient data centers.

[mobiletrendstoday]

DeepSeek and the Global AI Arms Race

The rapid expansion of artificial intelligence mirrors the dot-com boom of the late 1990s, though with less emphasis on overcompensating employees. Much like that era, companies today are fiercely claiming superiority in AI technology. However, many consumers and businesses remain unsure how to effectively implement these advancements.

One notable player in this escalating AI competition is DeepSeek. Unlike many competitors, DeepSeek has prioritized quality over speed from the outset. Instead of simply touting AI capabilities, the company has focused on ensuring its models deliver higher accuracy at a lower cost, positioning itself as a formidable alternative in the industry.

DeepSeek’s Unique Approach

DeepSeek has captured attention not only for its performance but also for its cost efficiency. Due to restrictions on accessing Nvidia’s latest AI technologies, DeepSeek optimized its model to function effectively on older Nvidia hardware. This approach has reportedly slashed AI development costs by 94%, bringing down expenses from the typical $100 million to just $6 million.

This cost-effective methodology has translated into improved performance while keeping expenses low. However, concerns linger regarding potential security risks and model integrity, given the involvement of the Chinese government. While some speculate that China may be filtering content rather than directly manipulating the AI’s core learning model, skepticism remains.

DeepSeek’s Disruptive Entry

DeepSeek’s rise has already sent ripples through the AI industry. Its emergence significantly impacted Nvidia’s stock price, highlighting its potential threat to established players like OpenAI. The latter has responded by filing lawsuits against DeepSeek. However, given the ongoing geopolitical tensions and lack of legal cooperation between the U.S. and China, OpenAI faces an uphill battle in curbing DeepSeek’s expansion.

Despite its promise, DeepSeek comes with notable drawbacks. Users have reported restrictions on queries deemed sensitive by the Chinese government, limiting discussions on certain political and historical topics. While this appears to be a front-end filter, AI models often find ways to circumvent imposed barriers, potentially leading to long-term accuracy issues.

Furthermore, if the U.S. government has raised alarms over TikTok, its concerns over DeepSeek could be even greater. The potential for data collection and user tracking by an AI-powered system far exceeds the privacy risks posed by social media platforms, amplifying national security worries.

The Broader AI Battle

The AI market is more competitive than ever, with over 1,500 companies entering the space. However, history suggests that most of these startups will either be acquired or fail. This volatility mirrors the dot-com era, where venture capitalists rapidly invested in internet companies—many of which struggled to reach profitability.

The true disruption, however, will likely come when artificial general intelligence (AGI) emerges. AGI, unlike today’s AI models, will overcome many of the current limitations and dramatically reduce costs, propelling AI into near-universal adoption. The company that pioneers AGI will likely unlock a multi-trillion-dollar market, potentially reshaping global wealth distribution. If Elon Musk were to be dethroned as one of the world’s richest individuals, it would likely be by someone at the forefront of AGI development.

This technological arms race has also sparked intense competition for top AI talent, with companies investing heavily in self-improving AI systems. While self-developing AI presents exciting opportunities, it also introduces concerns about maintaining quality and oversight—an area where DeepSeek’s quality-centric approach may offer an advantage.

The Nvidia Dilemma

Since DeepSeek’s entry, Nvidia has faced scrutiny, with many questioning whether it is at risk. However, the real issue isn’t DeepSeek itself but rather U.S. policies restricting Nvidia’s ability to sell its most advanced technology to China. These restrictions have inadvertently pushed Chinese companies to innovate with older hardware, leading to breakthroughs like DeepSeek’s low-cost, high-accuracy model.

Far from safeguarding U.S. technological dominance, these policies are fostering stronger competition from China. While the embargo aims to limit China’s access to cutting-edge AI chips, history shows that China has long excelled at reverse engineering and acquiring restricted technologies through secondary markets. By preventing Nvidia from competing directly, these measures may ultimately hinder the company’s ability to defend its intellectual property and maintain its market position.

[news24-amit]

AIoT Adoption Accelerates as Industries Embrace Intelligent Automation

The Artificial Intelligence of Things (AIoT) is transforming industries by integrating artificial intelligence (AI) with the Internet of Things (IoT), enabling smart decision-making and automation. AIoT enhances efficiency, optimizes resource utilization, and provides real-time insights across multiple industries. The AIoT market, valued at US$ 8.4 billion in 2022, is projected to grow at a CAGR of 24.6% from 2023 to 2031, reaching US$ 58.4 billion by 2031.

Market Dynamics

Key Drivers

Growing Adoption of IoT Devices: The proliferation of smart devices and sensors is generating massive data volumes, fueling AIoT growth.

Need for Real-Time Decision Making: AI-driven analytics help industries make data-driven decisions, improving operational efficiency.

Rise in 5G Deployment: Faster and more reliable connectivity enhances AIoT capabilities, enabling seamless real-time communication.

Increasing Use in Healthcare: AIoT is widely used in wearable health devices, remote patient monitoring, and AI-powered diagnostics.

Demand for Smart Manufacturing: AIoT-driven predictive maintenance and automation solutions enhance production efficiency and reduce downtime.

Challenges and Restraints

Lack of Standardization: The absence of global AIoT regulations poses challenges for widespread adoption.

Data Privacy and Security Concerns: AIoT systems handle vast amounts of sensitive data, increasing risks related to cybersecurity and compliance.

High Initial Investment: AIoT deployment requires significant capital expenditure, limiting adoption in small and medium enterprises (SMEs).

Market Segmentation

By Component

Software/Platforms: AI-powered analytics, cloud computing, edge computing solutions.

Services: Consulting, integration, maintenance, and managed services.

By End-User Vertical

BFSI (Banking, Financial Services, and Insurance): Fraud detection, risk assessment, and customer experience enhancement.

Retail: AI-driven inventory management, customer behavior analysis, and automated checkouts.

Automotive: Autonomous vehicles, predictive maintenance, and AI-enabled traffic management.

Transportation & Logistics: Route optimization, fleet management, and real-time tracking.

Healthcare: AI-powered diagnostics, telemedicine, and patient monitoring.

Energy and Utilities: Smart grids, AI-powered energy optimization, and predictive maintenance.

Manufacturing: Predictive maintenance, automation, and supply chain optimization.

Others: Smart cities, agriculture, and public sector applications.

Regional Outlook

North America: The largest market, driven by strong IoT infrastructure, tech innovations, and AI adoption.

Europe: Significant investments in AIoT for industrial automation and smart city initiatives.

Asia-Pacific: Fastest-growing region due to rising manufacturing sector, smart city developments, and AIoT adoption in industries.

Middle East & Africa and South America: Emerging AIoT markets with moderate growth potential.

Key Industry Trends

AIoT in Smart Manufacturing

Leading companies such as ABB, Siemens, and Schneider Electric offer AI-powered industrial analytics platforms.

Automated Machine Learning (AutoML) is simplifying AI adoption in industrial applications.

Embedded AI hardware (e.g., NVIDIA GPUs, Google TPUs) is driving edge AI capabilities.

Smart Cities and AIoT Integration

AIoT is being used for energy-efficient buildings, smart grids, and intelligent water management.

Barcelona's AIoT initiatives in energy and water management have significantly reduced waste and emissions.

Advancements in AI Chips for AIoT

NVIDIA A30 and A10 GPUs, AWS EC2 G5 Instances, and Google’s TPUs are enhancing AIoT performance in various applications.

Competitive Landscape

Key players in the AIoT market are investing heavily in research & development, strategic partnerships, and product innovations to expand their market presence. Some leading companies include:

Amazon Web Services (AWS)

Google LLC

IBM Corporation

Microsoft Corporation

Oracle Corporation

Siemens AG

SAP SE

Schneider Electric

PTC Inc.

Contact Us: Transparency Market Research Inc. CORPORATE HEADQUARTER DOWNTOWN, 1000 N. West Street, Suite 1200, Wilmington, Delaware 19801 USA Tel: +1-518-618-1030 USA - Canada Toll Free: 866-552-3453 Website: https://www.transparencymarketresearch.com Email: sales@transparencymarketresearch.com

[aishwaryaanair]

The Complete Guide to Choosing the Right AI Certification for Your Engineering Goals

In today’s tech-driven world, artificial intelligence (AI) is no longer a luxury but a necessity for professionals looking to elevate their careers in engineering. AI certifications are powerful tools that validate your expertise, open doors to high-paying roles, and prepare you to solve real-world challenges with cutting-edge technology.

Why AI Certifications Matter

AI certifications serve as formal recognition of your technical skills and industry knowledge. They provide hands-on experience, enhance your resume, and ensure you stay competitive in an evolving market.

Key Benefits of AI Certifications:

Career Advancement: Certifications can fast-track promotions and job offers.

Specialized Knowledge: They focus on niche areas like robotics, data science, or AI ethics.

Practical Skills: Many programs emphasize real-world applications.

Global Recognition: Certifications from reputable organizations are recognized worldwide.

Top AI Certifications for Engineers

1. AI+ Engineer™ by AI Certs

The AI+ Engineer™ certification by AI Certs is specifically designed for engineers aiming to integrate AI into their projects and systems.

Key Features:

Comprehensive coverage of AI fundamentals and advanced engineering applications.

Training in designing and deploying AI-driven solutions for real-world challenges.

Focus on ethical AI practices and sustainability.

Why It’s Ideal for Engineers:

This certification bridges the gap between traditional engineering and AI, making it perfect for professionals in fields like robotics, mechanical, and electrical engineering.

Use the coupon code NEWCOURSE25 to get 25% OFF on AI CERTS’ certifications. Don’t miss out on this limited-time offer! Visit this link to explore the courses and enroll today.

2. Microsoft Certified: Azure AI Engineer Associate

Microsoft’s certification focuses on building, managing, and deploying AI solutions using Azure.

Key Features:

Training in natural language processing, speech recognition, and computer vision.

Hands-on projects using Azure Machine Learning and Azure Cognitive Services.

Emphasis on integrating AI into cloud-based applications.

Why It’s Ideal for Engineers:

This certification is perfect for engineers working in cloud-based environments who want to master AI deployment and management.

3. NVIDIA Deep Learning Institute (DLI) Certifications

NVIDIA offers a range of certifications focusing on deep learning and AI applications, particularly in engineering and robotics.

Key Features:

Specialized training in deep learning frameworks like TensorFlow and PyTorch.

Application-focused modules for robotics, healthcare, and autonomous vehicles.

Access to NVIDIA’s advanced GPU computing platforms.

Why It’s Ideal for Engineers:

For engineers in robotics or embedded systems, NVIDIA’s certifications provide the expertise needed to design AI-powered solutions.

How to Choose the Right AI Certification

Selecting the right certification depends on your career goals, industry requirements, and current skill level. Here’s a step-by-step guide to help you decide:

1. Identify Your Career Goals

Are you looking to advance in your current role or transition to a new field?

Do you want to specialize in a niche area like robotics, AI ethics, or cloud computing?

If your focus is on integrating AI into engineering projects, the AI+ Engineer™ certification is an excellent choice.

2. Assess Your Skill Level

Beginner: Start with foundational certifications like the IBM AI Engineering Professional Certificate.

Intermediate: Opt for certifications like AI+ Engineer™, which offer practical training and advanced concepts.

Advanced: Dive into niche certifications like NVIDIA DLI for domain-specific expertise.

3. Consider Industry Recognition

Certifications from reputable organizations like AI Certs, Microsoft, and NVIDIA are globally recognized, adding weight to your credentials.

4. Prioritize Practical Learning

Certifications that include hands-on projects and real-world applications, like AI+ Engineer™, prepare you for the challenges of AI implementation.

5. Evaluate ROI

Compare the certification cost with its potential career benefits, including job opportunities, salary increases, and skill enhancement.

How AI Certifications Propel Engineering Careers

1. Robotics Engineering

AI certifications equip robotics engineers with skills to design intelligent machines capable of autonomous decision-making.

2. Mechanical and Electrical Engineering

Engineers in these fields can use AI to optimize processes, improve efficiency, and innovate product designs.

3. Software Engineering

AI certifications enable software engineers to develop intelligent applications, from chatbots to complex machine learning models.

4. Emerging Fields

AI is driving innovation in fields like autonomous vehicles, smart cities, and renewable energy. Certifications help engineers transition into these high-growth areas.

The ROI of AI Certifications

AI engineers are among the highest-paid professionals in tech, with salaries often exceeding $120,000 annually in the U.S. Certifications like AI+ Engineer™ and Microsoft Azure AI Engineer Associate make you a sought-after candidate for roles such as:

AI Engineer

Machine Learning Engineer

Robotics Engineer

Cloud AI Specialist

Future Trends in AI Certifications

The demand for AI-certified professionals will continue to rise as industries adopt AI-driven solutions. Emerging trends include:

AI and Sustainability: Certifications focusing on green AI solutions.

Ethical AI: Programs that emphasize responsible AI usage.

Cross-Disciplinary Certifications: Courses integrating AI with fields like biology, healthcare, and construction.

Conclusion

AI certifications are indispensable for engineers looking to innovate and excel in their careers. Whether you’re a robotics specialist, software developer, or mechanical engineer, programs like AI+ Engineer™, Microsoft Azure AI Engineer Associate, and NVIDIA DLI offer the skills and recognition needed to thrive in an AI-driven world.

Invest in the right certification today, and take the first step toward a future-ready career in engineering. With the right credentials, you’ll not only meet industry demands but also lead the way in transforming technology and society.

[mobiloittetechblogs]

The Future of Mobile Applications: How 5G is Transforming App Development and Functionality

The advent of 5G technology has revolutionized mobile app development, unlocking unprecedented opportunities for innovation and functionality. As a leading mobile application service provider, we recognize the transformative impact of 5G on mobile application development services across industries. From native app development services to hybrid app development services, the possibilities are limitless with 5G's enhanced connectivity, speed, and latency improvements.

In this blog, we explore how 5G is reshaping the mobile application development landscape and why businesses need to embrace this technology to stay competitive. Whether you are looking for Android app development, iOS mobile app development, or cross-platform mobile development, understanding 5G's role is critical for building future-ready applications.

What Makes 5G a Game-Changer for Mobile App Development?

5G technology is driven by 8 key specifications that differentiate it from previous generations like 4G and 4.5G. These include:

Up to 10 Gbps data rate: 10 to 100 times faster than 4G.

1 millisecond latency: Near-instantaneous response times.

1000x bandwidth: Increased network capacity for better data transfer.

Up to 100x more devices per unit area: Perfect for IoT and custom mobile solutions.

99.999% availability: Reliable, always-on connectivity.

90% reduction in energy usage: Network efficiency and reduced power consumption.

Up to 10-year battery life for IoT devices.

100% coverage: Enhanced performance in urban and rural environments.

For businesses and app developers, these improvements are game-changing. Whether you are developing custom mobile apps for smart devices or building complex solutions as a mobile game development company, 5G offers unmatched opportunities.

Key Ways 5G is Reshaping Mobile Applications

1. High-Speed Data Transfer for Enhanced Performance

5G delivers speeds up to 10 Gbps, allowing mobile applications to transfer large amounts of data almost instantly. This unlocks new potential for video streaming apps, mobile gaming, and cloud-based applications.

Streaming services like Netflix, YouTube, and Disney+ can now deliver 4K and 8K content without buffering.

Cloud gaming platforms such as Xbox Cloud Gaming and NVIDIA GeForce Now benefit from minimal latency, enabling smooth, lag-free gameplay with frame rates up to 60 FPS.

Collaboration tools like Zoom, Microsoft Teams, and Google Meet offer better video quality and real-time document sharing.

For businesses offering professional mobile development, 5G empowers developers to create more responsive and high-performance applications.

2. Low Latency for Real-Time Applications

One of the standout features of 5G is its ultra-low latency, reducing response time to as low as 1 millisecond. This is critical for applications requiring real-time data exchange.

Telemedicine apps: Doctors can now conduct real-time consultations and monitor vital signs from wearable devices seamlessly.

AR/VR applications: Whether for education, retail, or entertainment, augmented reality and virtual reality apps require low latency to ensure smooth, immersive experiences.

IoT applications: From custom mobile solutions for smart homes to connected vehicles, real-time communication is now possible across multiple devices.

Companies offering expert mobile app development can now deliver solutions that were previously unimaginable due to latency constraints.

3. Massive IoT Connectivity

5G supports up to 1 million devices per square kilometer, making it ideal for IoT applications. Mobile application development services for smart cities, logistics, healthcare, and manufacturing will thrive in the 5G era.

Smart city apps: Real-time data from thousands of sensors, cameras, and devices for efficient city management.

Logistics solutions: Real-time tracking of shipments, improving supply chain efficiency.

Healthcare apps: Seamless connectivity for wearable health devices like heart monitors and glucose trackers.

For a mobile application service provider, the ability to connect and manage numerous devices opens new doors for innovative solutions.

4. Power-Efficient Mobile Applications

5G reduces power consumption, extending battery life for mobile and IoT devices. This is a significant advantage for health monitoring apps, navigation apps, and fitness trackers.

Health apps like Fitbit and Apple Health can operate longer without draining device batteries.

Navigation apps like Google Maps and Waze can function seamlessly for extended periods, enhancing usability for travelers and commuters.

This feature is particularly valuable for custom mobile apps that require 24/7 monitoring and low-power IoT devices.

5. Cloud and Edge Computing for Complex Applications

With 5G, app developers can leverage cloud computing and edge computing to offload resource-intensive tasks to the cloud or nearby nodes. This ensures faster processing, reduced device load, and better overall performance.

Photo editing apps: High-quality rendering of complex effects can be handled in the cloud.

AR/VR apps: Complex 3D object rendering and synchronization can occur in the cloud while the device handles display.

Mobile gaming: Physics calculations and AI tasks can run in the cloud, enhancing gameplay.

As a mobile game development company, integrating cloud computing into apps allows developers to deliver top-tier performance without compromising user experience.

5G and Artificial Intelligence: The Perfect Combination

The combination of 5G and AI opens new horizons for mobile app development. Applications can now leverage real-time AI processing for:

Image recognition and object detection.

Natural language processing for voice assistants like Siri and Alexa.

Predictive analytics for healthcare, finance, and retail.

With support for edge computing, AI algorithms can process data locally, ensuring faster responses and improved privacy. For iOS mobile app development and Android app development, integrating AI features has never been easier.

Challenges of 5G in Mobile App Development

While 5G offers endless opportunities, it also introduces new challenges:

Testing: Simulating multi-user scenarios and load testing requires advanced tools like JMeter and IoT simulators.

Security: Increased data transfer demands advanced encryption techniques to protect user data.

Network Transition: Applications must handle seamless transitions between 5G, 4G, and Wi-Fi networks without compromising performance.

Companies offering mobile app development services must adopt robust testing frameworks and cybersecurity measures to mitigate these challenges.

Why Partner with Mobiloitte for 5G-Ready Mobile Applications?

As a trusted mobile application service provider, Mobiloitte delivers cutting-edge solutions across various platforms. Our expertise in native app development services, hybrid app development services, and cross-platform mobile development ensures your apps are ready for the 5G revolution.

Custom Mobile Solutions: Tailored apps to meet your specific business needs.

Expert Mobile App Development: Our team of developers leverages 5G capabilities to build high-performance applications.

Mobile Game Development Company: Creating immersive gaming experiences with minimal latency.

We specialize in Android app development, iOS mobile app development, and cloud-based solutions that unlock the full potential of 5G.

Conclusion

The arrival of 5G technology has transformed the mobile application development landscape, enabling developers to create faster, more interactive, and efficient applications. From custom mobile apps for IoT to mobile game development, 5G offers a world of possibilities for businesses and end users alike.

As a leader in mobile app development services, Mobiloitte is ready to help you harness the power of 5G with innovative solutions tailored to your needs. Partner with us for future-ready applications that redefine user experiences in the 5G era.

[semiconductorsandelectronics]

US AI Chip Market: Trends and Insights

The US AI chip market is growing at a high rate, fueled by developments in artificial intelligence technologies, such as LLMs, GenAI, and improvements in inference capabilities. The increasing recognition of the benefits of AI, the supportive ecosystem, government initiatives, and industry-specific use cases are fast-tracking the adoption. With improved AI algorithms and computing power, businesses integrate artificial intelligence to enhance data-driven decision-making, automation, and operational efficiency. Major vendors like Google, Intel Corporation, Apple Inc., NVIDIA Corporation, and AWS, which are headquartered in the US, are leading the AI chip market.

The US government is playing a pivotal role in driving the growth of the AI chip market through strategic investments and supportive initiatives. In April 2024, the Biden-Harris Administration’s CHIPS for America program allocated USD 50 million to support small businesses in semiconductor research and development. This investment is in support of startups and small-scale manufacturers to innovate and increase their footprint in the AI chip ecosystem, to promote further innovation in the AI chip technologies. In August 2024, the U.S. Department of Commerce also announced an investment of USD 3.87 billion in SK Hynix Inc. (South Korea) with a view of setting a memory packaging plant in the US and an advanced packaging R&D facility there. This initiative will strengthen the production of AI chips in the US, foster innovation and enhance its leadership in the chip industry worldwide.

Another driver is the explosion of unstructured data and the rising adoption of AI-integrated applications, which are creating unprecedented demands on data centers and making accelerator-enabled data centers a growing trend in the US AI chip market. The increasing use of machine learning and inference workloads in data centers necessitates specialized chips to reduce latency and improve processing efficiency. Accelerator-enabled data centers are therefore gaining popularity. The US data center industry continues to expand as investment in AI increases and technological advancement continues. For instance, Google announced an investment of USD 3 billion to expand its data centers in the US in April 2024. Growth in the number of data centers is therefore expected to further fuel the adoption of AI chips in the country.

The US AI chip market also receives benefits from their focus on advanced packaging technologies and local manufacturing. The leading chipmakers and innovative startups in the region ensures that the US is at the top in AI chip design and fabrication. The emphasis on domestic manufacturing theme is in sync with the national strategies that are underway to reduce dependency on imports and foster resilience in critical technologies.

Download PDF Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=194123367

Companies are now focused on making chips optimized for power efficiency to meet the demands of data centers as well as edge AI applications. The demand for energy-efficient chips able to offer high performance at lower power consumption is high given the rise in cloud computing and AI workloads. A thriving tech ecosystem complemented by considerable private sector investments along with the government's incentives will lead to steady growth of the US AI chip market.

[sharon-ai]

Sharon AI and New Era Helium Partner to Build a 250 MW Net-Zero Data Centre in Texas

Sharon AI and New Era Helium are collaborating to build a 250 MW net-zero energy data centre in the Permian Basin, Texas. This project aims to combine advanced AI-driven infrastructure with sustainable energy solutions, showcasing how technology and environmental responsibility can work together effectively.

From Concept to Commitment

Originally envisioned as a 90 MW facility, the data center’s scope has expanded to 250 MW due to surging client demand. This shift reflects the escalating need for scalable, sustainable solutions in the era of artificial intelligence and high-performance computing.

Key Milestones Along the Way:

Binding Agreement Secured: Sharon AI and New Era Helium formalized their collaboration with a binding Letter of Intent (LOI), setting a strong foundation for progress.

Strategic Location: The Permian Basin was chosen for its abundant natural gas resources, ensuring a robust and sustainable energy supply.

Decisive Steps Forward: A definitive joint venture agreement is on track for completion by December 23, 2024.

Energy Framework: New Era Helium will deliver energy through a fixed-cost gas supply agreement, locking in stability for five years with optional extensions.

A Strategic Partnership for the AI Era

The partnership between Sharon AI and New Era Helium brings together artificial intelligence and energy production to address the growing demand for high-performance computing infrastructure. Initially announced as a 90 MW facility, the project was expanded to a 250 MW capacity after strong interest from potential clients. This development highlights the significance of their collaboration in meeting the power-intensive needs of AI technologies.

Will Gray II, CEO of New Era Helium, emphasised, “This partnership underscores our dedication to innovative energy solutions. Together, we’re crafting a future-ready infrastructure that aligns with the digital age’s evolving demands.”

Sharon AI’s Role in Innovation

Sharon AI is leading the design and operation of the advanced data centre. With support from partners like NVIDIA and Lenovo, the company is building a liquid-cooled Tier III facility to ensure optimal performance for AI training and inference tasks, catering to the increasing demand for HPC services.

As Wolf Schubert, CEO of Sharon AI, stated, “This project marks a critical milestone. We’re advancing engineering plans and engaging with potential clients to bring this net-zero energy center to life.”

Clean Energy at Its Core: New Era Helium’s Contribution

New Era Helium’s expertise lies in sustainable energy production. The company is not just powering the data center but also constructing the required gas-fired power plant, incorporating CO2 capture technology to minimize environmental impact. With an extensive presence in the Permian Basin, New Era Helium ensures a reliable and eco-friendly energy supply, crucial for such a high-demand facility.

The gas supply agreement, part of the joint venture, ensures cost stability for five years, with extensions possible for up to 15 years. This long-term vision highlights the project’s commitment to energy efficiency and sustainability.

Why the Permian Basin?

The Permian Basin, known for its rich natural gas reserves, offers a prime location for this ambitious project. The region’s resources, combined with its strategic infrastructure, make it an ideal hub for a net-zero energy initiative. The data center is expected to attract interest from hyperscalers and large-scale energy consumers, further solidifying its importance in the tech and energy sectors.

Advancing Sustainable Data Infrastructure

The Sharon AI and New Era Helium partnership is focused on building a 250 MW net-zero energy data centre in Texas, designed to meet the growing demand for high-performance computing (HPC) and AI-driven technologies. Located in the Permian Basin, this initiative combines cutting-edge infrastructure with a sustainable energy approach. With the joint venture agreement set to be finalised by December 23, 2024, this project is positioned to become a model for future environmentally sustainable data centres.

[starseedfxofficial]

NVIDIA Drama Sparks Market Chaos: Hidden Trading Gems NVIDIA’s Monopoly Drama: When Tech Titans Trip Have you ever watched a high-stakes drama unfold and thought, “This could totally tank the market”? Enter NVIDIA, the semiconductor giant, currently under the microscope of China’s regulators for allegedly breaking anti-monopoly laws. The fallout? A -2.6% dip in NVIDIA’s shares, and the tech-heavy NDX nosedived by -0.8%. Think of it as the trading equivalent of stepping on a LEGO barefoot—unexpected and painful. But here's the kicker: regulatory crackdowns like these are often the harbingers of greater market shifts. Traders paying attention to the underlying ripple effects (supply chain disruptions, competitor gains) can position themselves to benefit from these shake-ups. Next time you hear “anti-monopoly investigation,” consider it a giant flashing sign that says “Opportunity Ahead.” Sector Shuffles: Who’s Winning and Who’s Whimpering Yesterday’s market movements painted a somber picture. Utilities and Financials led the laggards while Healthcare, Real Estate, and Materials outperformed. Here’s a nugget of wisdom: sector rotation is often driven by macroeconomic trends, and knowing which sectors are set to soar can be your trading ace. For example, Materials’ outperformance hints at increased demand driven by either infrastructure investments or commodity price rebounds. Stay sharp and look for patterns in news—they’re the breadcrumbs that lead to profitable trades. Oracle’s Cloud Nine Moment Fizzles Oracle’s Q3 earnings had a bit of a “lost in translation” moment. Despite reporting a 52% increase in Cloud Infrastructure revenue (constant currency), they fell short of analyst expectations. Shares plunged 7.8% after hours. Now, what’s a savvy trader to make of this? Underdelivering tech giants are a goldmine for contrarian traders. Markets often overreact to perceived failures, creating ripe opportunities for rebound plays. Watch for Oracle’s recovery signals—insiders buying shares or positive guidance could hint at a turnaround. How to Spot “Hidden Gems” Amid Market Noise Now, let’s get tactical. Spotting opportunities in a sea of red involves more than just scanning headlines. Here are three steps to elevate your game: - Follow the Money: Pay attention to institutional investor moves. If hedge funds are pouring money into sectors like Materials or Real Estate, there’s likely a long-term narrative backing those trades. - Decode the Data: Economic indicators like the Atlanta Fed GDPNow staying steady at 3.3% offer a broader market health snapshot. Pair these insights with sector-specific analysis for precision. - News Timing: Remember, markets are forward-looking. Reacting to news is good; anticipating it is better. Track regulatory announcements, earnings forecasts, and geopolitical events to stay ahead. The Canadian Tariff Tango: A Warning Sign? Canadian PM Trudeau’s remarks about potential U.S. tariffs may seem like political rhetoric, but it’s a red flag for traders. Tariffs disrupt trade flows and often weaken the impacted country’s currency. If this escalates, the USD/CAD pair could see wild swings—savvy traders can prepare by monitoring cross-border economic data. Humor Meets Strategy Let’s face it: navigating Forex markets can feel like juggling flaming swords. But armed with insights, humor, and a dash of contrarian thinking, you’ll find your edge. Remember, every headline hides a story; every market move has a motive. Decode it, trade it, and laugh at the chaos on your way to the bank. —————– Image Credits: Cover image at the top is AI-generated   Read the full article