In research that could improve weather forecasting and winter driving safety, a University of Michigan-led study ...

Meta's ORW specification sets a new standard for interoperable AI infrastructure. Helios implements that standard, providing ...

Cusat's ₹26 crore 'Tejaswi' hybrid supercomputing facility enhances AI research and scientific simulations, inaugurated on ...

Predictive model accelerates the development of nanoparticles as potential drug carriers for targeting neurodegenerative diseases ...

As the world becomes more interconnected, some plants have benefited from a greater ease in movement from one region to ...

State pensioners are more likely to be flagged for fraud by a Department for Work and Pensions (DWP) artificial intelligence tool. The DWP AI could see o lder claimants investigated as the Labour ...

Digital commerce is entering a new era where customers demand not just personalized interactions, but real-time, meaningful and context-aware experiences. Traditional machine-learning-driven ...

Experts discuss AI’s data scarcity, open versus closed models, synthetic data and unlocking proprietary enterprise data.

This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...

When Liam Fedus announced he was quitting OpenAI, VCs swarmed. One even wrote a love letter. Here's how Felicis' Peter Deng ...

Cyber attacks are growing smarter and faster. Hackers use advanced techniques to target businesses of all sizes. Traditional defenses often struggle to keep up, leaving networks and data at risk. […] ...

The drug development pipeline is a costly and lengthy process. Identifying high-quality "hit" compounds-those with high potency, selectivity, and favorable metabolic properties-at the earliest stages ...