And those who rarely used a procedural algorithm were significantly more likely to succeed on problem-solving questions. If you're enjoying this article, consider supporting our award-winning ...

Chris Maddison was just an intern when he started working on the Go-playing AI that would eventually become AlphaGo. A decade later, he talks about that match against Lee Sedol and what came next ...

Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower cost than frontier models.

People's decisions are known to be influenced by past experiences, including the outcomes of earlier choices. For over a ...

In Senegal, Diarra Bousso grew up in a home where art and style were a daily language. She went on to study mathematics, worked on Wall Street, and came back to Dakar with a model for a fashion and ...

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

Over the past several years, there has been a steady drumbeat of warnings about the impact of quantum computing on traditional encryption methods, with consistent calls for organizations – both within ...

Neuromorphic computers may look like regular computers from the outside but the circuitry is entirely different.Sandia National Laboratories The world’s first neuromorphic supercomputer is moving ...

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex mathematical problems that underpin scientific and engineering challenges.

Sandia National Labs today released an update on its neuromorphic computing research, reporting that these systems, inspired by the architecture of the human brain, are surprisingly adept at solving ...