AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models.

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...

Two trailblazing computer scientists have won the 2024 Turing Award for their work in reinforcement learning, a discipline in which machines learn through a reward ...

Humans&, a startup that believes AI should empower people, not replace them, has reportedly raised a $480 million seed round ...

Just three months old, the startup is already valued at $4.48 billion and has garnered attention from Google, Nvidia and Jeff ...

(THE CONVERSATION) Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to learn from experience is a cornerstone of intelligence for ...

Humans& Inc., a three-month-old artificial intelligence startup, today announced that it has closed a $480 million seed round ...

Using a bunch of carrots to train a pony and rider. (Photo by: Education Images/Universal Images Group via Getty Images) Andrew Barto and Richard Sutton are the recipients of the Turing Award for ...

Watch an AI agent learn how to balance a stick—completely from scratch—using reinforcement learning! This project walks you ...

Traffic congestion, fuel consumption, and emissions also offer quantifiable performance indicators, making mobility uniquely ...

Reinforcement learning frames trading as a sequential decision-making problem, where an agent observes market conditions, ...