If your AI can’t learn from its mistakes, it’s not intelligent — it’s obsolete. Logging isn’t a risk. It's the price of ...

Moving beyond the slow, costly trial-and-error of RL, GEPA teaches AI systems to learn and improve using natural language.

At UC Berkeley, researchers in Sergey Levine's Robotic AI and Learning Lab eyed a table where a tower of 39 Jenga blocks ...

In this video, we break down the core training theory behind DeepSeek R1 — including General Reinforced Preference ...

Researchers have demonstrated that brain cells learn faster and carry out complex networking more effectively than machine ...

To develop an AI system capable of doing such difficult work, a team of researchers at the California Institute of Technology ...

A review published in National Science Review highlights recent progress at the intersection of machine learning and quantum ...

Researchers demonstrate that Synthetic Biological Intelligence (SBI) systems react faster, more effectively to stimuli than state-of-the-art RL (reinforcement learning) algorithms. To access these ...

The Chan Zuckerberg Initiative unveils rBio, a groundbreaking AI model that simulates cell biology without lab experiments to accelerate drug discovery and disease research.