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

Today's AI agents don't meet the definition of true agents. Key missing elements are reinforcement learning and complex memory. It will take at least five years to get AI agents where they need to be.

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

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

For years, the AI community has worked to make systems not just more capable, but more aligned with human values. Researchers have developed training methods to ensure models follow instructions, ...

The company claims the model demonstrates performance comparable to GPT-5.2-Thinking, Claude-Opus-4.5, and Gemini 3 Pro.

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

New benchmark shows top LLMs achieve only 29% pass rate on OpenTelemetry instrumentation, exposing the gap between ...

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

Hardware fragmentation remains a persistent bottleneck for deep learning engineers seeking consistent performance.

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 ...

According to a new study by researchers Francisco W. Kerche, Matthew Zook, and Mark Graham, Large Language Models (LLMs) ...