News

Machine learning method improves accuracy of inverse protein folding for drug design
An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design ...
Machine-learning model can reliably predict cognitive performance based on lifestyle indicators
A new study offers insight into the health and lifestyle indicators—including diet, physical activity and weight—that align ...
SEBI mulls guiding principle for responsible usage of AI, ML in securities markets
SEBI proposes guiding principles for responsible AI/ML usage in securities markets to safeguard investors and market ...
CUDA Cores And Tensor Cores: What Are They, And Do You Need Them For Gaming?
CUDA Cores shine the brightest when handling tasks that benefit from parallel computation. Tensor Cores use AI to upscale ...
InfoWorld2d
Taking advantage of Microsoft Edge’s built-in AI
Why use expensive AI inferencing services in the cloud when you can use a small language model in your web browser?
Sebi proposes AI, ML usage norms to protect investors
Sebi has proposed guiding principles for the use of AI and ML in securities markets, aimed at safeguarding investor interests ...
Nanowerk4d
AI could accelerate protein engineering - key for developing new medicines
Scientists have developed a new machine learning framework that has shown the potential to be more accurate at inverse protein folding than existing state-of-the-art methods.
Why Ignoring Data Is Derailing AI-Driven Digital Transformation—And Accurate Sales Forecasting
Sales forecasting should be one of the most obvious beneficiaries of AI. With the right data, companies could anticipate ...
Five ways iPadOS 26 turns iPad into a productivity powerhouse
Apple has pushed its iPad platform further than ever with iPadOS 26, and it goes well beyond a redesign. Here are five ...