Penn researchers have developed a smarter AI method for solving notoriously difficult inverse equations, which help scientists uncover hidden causes behind observable effects. By introducing ...

Using AI chatbots for even just 10 minutes may have a shockingly negative impact on people’s ability to think and problem-solve, according to a new study from researchers at Carnegie Mellon, MIT, ...

The National Council of Teachers of Mathematics makes the argument that teachers, principals, and district leaders must “stay up to date on current AI trends” to prepare students for the future. But ...

You’re reading The Financial Page, John Cassidy’s weekly column on economics and politics. In the early nineteen-nineties, when Arindrajit Dube was growing up in Seattle, where his parents were ...

Quantum computers are already here, but they make far too many errors. This is arguably the biggest obstacle to the technology really becoming useful, but recent breakthroughs suggest a solution may ...

Some readers may solve the problem procedurally: line up the two numbers, add the ones column, carry the one, and add the tens to get 43. Others might instead notice a creative shortcut: 29 + 14 is ...

In parts of the Middle East and North Africa, a patchwork of sanctions, payment failures, and licensing gaps pushes people into piracy networks. In the Middle East, piracy is illegal in countries with ...

In a dark room, in the middle of the night, a woman lies dreaming. Suddenly, her eyes beneath their lids dart crisply left-right, left-right. The eye signal means she knows she’s dreaming. Lucid ...

Sen. Martin Heinrich, D-N.M., listens as Sen. Mike Rounds, R-S.D., speaks during a news conference at the Capitol on May 15, 2024 in Washington, D.C. (Photo by Kent Nishimura/Getty Images) Congress is ...

Mathematics, like many other scientific endeavors, is increasingly using artificial intelligence. Of course, math is the backbone of AI, but mathematicians are also turning to these tools for tasks ...

Abstract: The Nelder-Mead simplex method is a well-known algorithm enabling the minimization of functions that are not available in closed-form and that need not be differentiable or convex.