A marriage of formal methods and LLMs seeks to harness the strengths of both.

Chain-of-Thought (CoT) prompting has enhanced the performance of Large Language Models (LLMs) across various reasoning tasks.

Engineers at the University of California San Diego have developed a new way to train artificial intelligence systems to ...

A team of math and AI researchers at Microsoft Asia has designed and developed a small language model (SLM) that can be used ...

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 ...

On the 20th, OpenAI researcher Hongyu Ren, OpenAI Senior Vice President Mark Chen, and OpenAI CEO Sam Altman (from left) held an online briefing to unveil the advanced reasoning AI model ‘o3’. Photo ...

Back in 2019, a group of computer scientists performed a now-famous experiment with far-reaching consequences for artificial intelligence research. At the time, machine vision algorithms were becoming ...

Identifying vulnerabilities is good for public safety, industry, and the scientists making these models.

Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...

AI in finance is shifting from cold maths to reasoning-native models—systems that explain, verify, and build trust in banking and compliance. For years, artificial intelligence in finance has dazzled ...