The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling by designing the algorithms and rules that govern the learning process.

Karthikeya S Parunandi’s career began far from the laboratories where he now architects the core algorithms behind advanced ...

Thinking Machines Lab challenges OpenAI’s scaling-first approach to artificial intelligence, arguing that true ...

Over the past decade, deep learning has transformed how artificial intelligence (AI) agents perceive and act in digital ...

On October 30th, the six finalists for the 2025 CWI Best Thesis in Applied Math Award pitched their research. After careful ...

In this episode of Space Minds, host David Ariosto speaks with Doug Hendrix, co-founder and CEO of ExoAnalytic Solutions — a ...

For Chaikesh Chouragade, an artificial intelligence research scientist at ZZAZZ AI Solutions, this question has guided a career at the intersection of economics and technology.

Vincenzo Savona, head of the Laboratory of Theoretical Physics of Nanosystems. 2025 EPFL/Murielle Gerber- CC-BY-SA 4.0 ...

Agentic AI isn’t just another automation tool, it’s a new way of automating. Its true potential lies in reimagining work at its most granular level: breaking down complex processes into smaller, ...

AI focuses on learning patterns from data to make decisions; quantum computing focuses on raw computational power for complex problems like molecular simulation and code-breaking.