The message from Nvidia is that AI is no longer about models or chips, but about monetizing inference at scale – where tokens become the core unit of value.

A small Korean fabless startup, Hyper Accel, says its first AI chip — designed for language-model inference in data centers — ...

LazySlide, a new computational tool designed to connect whole-slide pathology images with RNA sequencing data through foundation models, addresses one of the persistent bottlenecks in cancer research: ...

You can now run LLMs for software development on consumer-grade PCs. But we’re still a ways off from having Claude at home.

It didn’t go that well Closing arguments begin in Twitter shareholder trial accusing Musk of driving down stock Nvidia chief ...

It's the last day of Nvidia GTC. This is your ultimate guide to everything the chipmaker has talked about here in San Jose.

Per- and polyfluoroalkyl substances (PFAS) are persistent in the environment. They are found in drinking water, soil, and ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

You don't need the newest GPUs to save money on AI; simple tweaks like "smoke tests" and fixing data bottlenecks can slash ...

Practice UPSC CSAT questions with a structured set covering comprehension, reasoning, and aptitude to improve accuracy and qualify Prelims Paper 2.

Bennett joined the Yale Bulldogs in the 2022 cycle after playing prep football in Atlanta; he was unrated by the scouting ...