Sparse identification of nonlinear dynamical systems is an important project, directly addressing the physics community’s long-standing goal of data-driven discovery. Although many effective methods ...

The collapse in correlations is as inexplicable as the high correlations.  This chart exposes the danger for market ...

Generative artificial intelligence (Gen AI) has been the most disruptive force to hit education in a long time, and educators are still absorbing the impact. My colleagues and I have had to reprogram ...

Peclinical models that have underpinned cancer research for decades often fail to predict how a drug will perform in real ...

A shift to angular and polar coordinates offers control engineers a more physically rigorous, PID-friendly approach ...

Is it the same this time, or do artificial intelligence (AI) and vibe coding upend the game? More generally, can AI and software engineering enter into a successful marriage? Are we about to witness ...

Driving into San Francisco from the airport recently, I passed a billboard that said, “Welcome to AI country. Population: Everyone.” That seemed to capture things well. The next day, I was at the ...

An analytical method for predicting coating-contributed surface error when measurement is limited or inadequate. Contemporary ...

Bernstein 42nd Annual Strategic Decisions Conference May 27, 2026 9:00 AM EDTCompany ParticipantsEduardo Menezes ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Australia’s AI data center boom drove private investment sharply higher, even as weaker household spending exposed a widening economic split. If you can only read one tech story a day, this is it. We ...

Growing use of AI in schools, business and social media is raising concerns about misinformation, cybercrime and cultural ...