The NVIDIA L40S Data Center GPU, provided by PNY, represents a significant leap forward in the realm of high-performance computing. This GPU is engineered to meet the demanding needs of modern data centers ….
National Lab’s Machine Learning Project to Advance Seismic Monitoring Across Energy Industries
June 30, 2025 by
A new initiative designed to revolutionize seismic monitoring and forecasting using real time, advanced machine learning (ML) technologies is coming to the West Texas/New Mexico area. The U.S. Department of Energy (DOE) Technology Commercialization Fund awarded $1.8 million in funding to Lawrence Livermore National Laboratory (LLNL). The project is known as RECONNECT, or the Real-time […]
HPC News Bytes 20250505: Japan’s Rapidus 2nm Chips, $7T Data Center Forecast, NVIDIA and Trade Restrictions, ‘Godfather of AI’ Issues Warning
May 5, 2025 by
Good May morning to you! Here’s a somewhat rapid (10:11) run-through of recent news from the world of HPC-AI ….
DOE Office of Science Funds $31M for Research Capacity at Academic Institutions
November 21, 2024 by
WASHINGTON, D.C., Nov. 21, 2024 — Today, the U.S. Department of Energy (DOE) announced $31 million in funding for 42 projects to 36 institutions in 24 states to build research capacity, infrastructure, and expertise at academic institutions. Total funding is $31 million for projects lasting up to three years in duration. The list of projects […]
Why Mathematics is Essential for Data Science and Machine Learning
November 12, 2024 by
In this feature article, Daniel D. Gutierrez, insideAInews Editor-in-Chief & Resident Data Scientist, explores why mathematics is so integral to data science and machine learning, with a special focus on the areas most crucial for these disciplines, including the foundation needed to understand generative AI.
The AI Revolution: How Machine Learning has Changed the World in Two Years
October 30, 2024 by
In this contributed article, Ashley Marron, CEO of MindGenius, observes that as we approach the second anniversary of the launch of ChatGPT, it’s important to look at the impact AI has had on business technology, radically changing how companies and industries work, in that short time.
The insideAI News IMPACT 50 List for Q4 2024
October 22, 2024 by
The team here at insideAI News is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe. We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List.
Building Trust in AI: Qlik’s Latest AutoML Enhancements Offer Transparent Explainability and Improved Business Outcomes
September 11, 2024 by
Qlik®, a global leader in data integration, analytics, and artificial intelligence (AI), announced new enhancements to its AutoML capabilities. These updates make it easier for analytics teams to build and deploy high-performing machine learning models, providing native analytics to explain predictions in real-time.
Protect AI Democratizes AI Security Training with Free MLSecOps Foundations Online Learning Course
September 7, 2024 by
Protect AI, a leading artificial intelligence (AI) and machine learning (ML) security company, announced the availability of MLSecOps Foundations, a free four part video training and certification program on how to build security into AI/ML led by its CISO Diana Kelley.
New MLPerf Inference v4.1 Benchmark Results Highlight Rapid Hardware and Software Innovations in Generative AI Systems
August 28, 2024 by
Today, MLCommons® announced new results for its industry-standard MLPerf®Inference v4.1 benchmark suite, which delivers machine learning (ML) system performance benchmarking in an architecture-neutral, representative, and reproducible manner. This release includes first-time results for a new benchmark based on a mixture of experts (MoE) model architecture. It also presents new findings on power consumption related to inference execution.
