Researchers from the University of Edinburgh and NVIDIA have introduced a new method that helps large language models reason ...

Large language models (LLMs) deliver impressive results, but are they truly capable of reaching or surpassing human ...

Here are six predictions for how AI capabilities will evolve in 2026.

In a recent conversation with Dwarak Rajagopal, Head of AI Research at Snowflake, what stood out was not optimism or ...

Nvidia Corp. today announced the launch of Nemotron 3, a family of open models and data libraries aimed at powering the next ...

Researchers have unveiled General Agentic Memory (GAM), a new system designed to keep AI agents from forgetting what matters.

Researchers have developed a new way to compress the memory used by AI models to increase their accuracy in complex tasks or help save significant amounts of energy.

Rai shares his insights on how the AI business is changing, and how the focus is now shifting from developing more and more ...

Memory swizzling is the quiet tax that every hierarchical-memory accelerator pays. It is fundamental to how GPUs, TPUs, NPUs, ...

The company’s platform, Starling AIX, aims to structure organizational knowledge so that large language models can work with ...

AMD argues that as AI systems move toward agentic and multi-step reasoning, CPUs are becoming central to performance.

AI memory is limited. Users have to re-explain per chat and application switching is becoming difficult. User-owned and ...