In a new paper from OpenAI, the company proposes a framework for analyzing AI systems' chain-of-thought reasoning to understand how, when, and why they misbehave.

Discover how AI Procurement Solutions leverage reasoning engines to make smarter, faster procurement decisions and drive ...

Operating Procedures mark a shift from rule-based automation to agentic AI intelligence. They give AI assistants the ability to think, act, and adhere to policy, delivering the speed and accuracy of a ...

India], December 24: Shivik Labs, an emerging leader in foundational AI research, announced the release of its latest ...

What if artificial intelligence could think more like humans, adapting to failures, learning from mistakes, and maintaining a coherent train of thought even in the face of complexity? Enter RAG 3.0, ...

Large language models (LLMs), artificial intelligence (AI) systems that can process and generate texts in various languages, ...

What Is Chain of Thought (CoT)? Chain of Thought reasoning is a method designed to mimic human problem-solving by breaking down complex tasks into smaller, logical steps. This approach has proven ...

A team from the Institute of Industrial Science, The University of Tokyo has developed MatAgent, an AI system powered by a ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix ...

Researchers at MiroMind AI and several Chinese universities have released OpenMMReasoner, a new training framework that improves the capabilities of language models in multimodal reasoning. The ...

The rate at which agentic AI is entering the contemporary workplace is, bluntly, staggering it is, in fact, unprecedented in ...