B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack ...

MemRL separates stable reasoning from dynamic memory, giving AI agents continual learning abilities without model fine-tuning ...

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

Microsoft and Tsinghua University have developed a 7B-parameter AI coding model that outperforms 14B rivals using only ...

The Anthropic philosopher explains how and why her company updated its guide for shaping the conduct and character of its ...

According to the Allen Institute for AI, coding agents suffer from a fundamental problem: Most are closed, expensive to train ...

Robotics is entering a new phase where general-purpose learning matters as much as mechanical design. Instead of programming ...

A context-driven memory model simulates a wide range of characteristics of waking and sleeping hippocampal replay, providing a new account of how and why replay occurs.

Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving intellectual tasks. These models are not replicas of human intelligence. Their ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...