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

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

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

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

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

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

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

With the release of Ai2's open coding agents, developers have a new method for writing and testing software that promises to slash costs.

The World Economic Forum, in conjunction with Accenture, sheds light on AI use cases across the globe that are operating at scale to deliver improved business outcomes ...

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.