Linking AI models to formal verification methods can correct LLM shortcomings such as false assertions. Amazon's Byron Cook explains the promise of automated reasoning.

For the first time, large language models performed on a par with gold medallists in the International Mathematical Olympiad.

Discover the strengths and weaknesses of Qwen 3 and Kimi K2, two groundbreaking AI models shaping the future of artificial ...

Large language models (LLMs) excel at using textual reasoning to understand the context of a document and provide a logical ...

Effective B2B thought-leadership content is rooted in client problems. It's shaped for clarity, framed for impact, and draws ...

Thinking-2507, as we'll call it for short, now leads or closely trails top-performing models across several major benchmarks.

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data. This includes text from books and websites, images from public databases, ...

OpenAI announced that its experimental model achieved 'gold medal' performance at the International Mathematical Olympiad, ...

As companies deploy agentic AI, CIOs and data leaders face a critical mandate: deliver governed, trusted data that AI systems can understand.

Small tweaks to AI model size, prompt length, and compression techniques can deliver major energy savings, according to a new UNESCO report. Experts say that tailoring large language models to ...