Microsoft’s MSFT-2.58%decrease; red down pointing triangle Copilot chatbot has become central to its artificial-intelligence strategy as the company’s close partnership with OpenAI diminishes. But the ...

Amateur mathematicians are using artificial intelligence chatbots to solve long-standing problems, in a move that has taken professionals by surprise. While the problems in question aren’t the most ...

You probably don’t need more time. By Jancee Dunn When I look back on all the major decisions I’ve dithered over, I could scream. It took me a decade to commit to becoming a parent. I wavered for a ...

When a guitar string is plucked or a playground swing is set in motion, the movement gradually fades away. Physicists call these “damped harmonic oscillators,” and Newton’s laws do a fine job of ...

Consider someone who’s perfectly content with their office chair. It’s not ergonomic, it doesn’t have lumbar support, but it works. Then, during a meeting or a visit to a friend’s office, they sit in ...

University of Vermont professor Dennis Clougherty (right) and his student Nam Dinh wondered if there are systems in the atomic scale that behave like the vibrating motion of a guitar string in the ...

Entrepreneurs who build successful businesses often possess a unique ability to see what others don't—the critical bottlenecks hiding in plain sight that create frustration, inefficiency, and lost ...

Andy Constan, Damped Spring Advisors CEO & chief investment officer, joins 'Fast Money' to talk how elevated Treasury yields could impact the stock market rally. Got a confidential news tip? We want ...

When the greatest mathematician alive unveils a vision for the next century of research, the math world takes note. That’s exactly what happened in 1900 at the International Congress of Mathematicians ...

Complex organizational problems and chaos are silent killers of productivity and innovation. In today’s fractured work environment, they are more prevalent than ever. Political transitions, ...

Abstract: In recent years, physics-informed neural networks (PINNs) have gained significant attention for solving data-driven solvers for ordinary and partial differential equations (ODEs/PDEs).