Amid wars overseas and a Silicon Valley defense tech gold-rush, this Stanford class could be the most important business ...

The industry's aspirations for machine learning are running ahead of the data plumbing required to support them.

Patients omit details when speaking with medical AI, and a study warns of potential errors in digital diagnoses.

Net, a hybrid model that improves energy consumption prediction in low-energy buildings, enhancing accuracy and ...

Bank of America Global Healthcare Conference 2026 May 12, 2026 2:20 PM EDTCompany ParticipantsStephen Feider - CFO, ...

There are real costs to short-term optimizations, while set-asides offer a way to reap superior economic returns in the ...

Learn how a human-centric approach can reduce authentication errors in enterprise environments while improving security and ...

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...

Background Cardiovascular disease and osteoarthritis (OA) share risk factors, but the link between comprehensive ...

Background Joint analyses across multiple health datasets can increase statistical power and improve the generalisability of ...

A new quantum-inspired algorithm has cracked a problem so massive that conventional supercomputers struggle to even approach it. Researchers used the method to simulate extraordinarily complex quantum ...

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...