Google has improved its AI coding agents to stop generating outdated, deprecated code, addressing a key trust barrier for ...

It's not the sexiest part of AI, but I think ultimately it's going to be the most important part to get from where we are ...

When a startup struggles, founders usually assume the solution is obvious: more marketing, more hiring, or more capital. But in my experience advising founders, the real issue is usually something ...

Learn how to solve problems using linear programming. A linear programming problem involves finding the maximum or minimum value of an equation, called the objective functions, subject to a system of ...

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 ...

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 ...

Over the past couple of months, several researchers have begun making the same provocative claim: They used generative-AI tools to solve a previously unanswered math problem. The most extreme promises ...

AI could soon spew out hundreds of mathematical proofs that look "right" but contain hidden flaws, or proofs so complex we can't verify them. How will we know if they're right? When you purchase ...

Let’s keep things simple – this is basic math. Nothing scary. Just everyday calculations, a bit of geometry, some number patterns, and the kind of stuff you definitely learned in school at some point.

Within the STRUCTURES Cluster of Excellence, two research teams at the Interdisciplinary Center for Scientific Computing (IWR) have refined a computing process, long held to be unreliable, such that ...