Both humans and other animals are good at learning by inference, using information we do have to figure out things we cannot observe directly. New research from the Center for Mind and Brain at the ...

You train the model once, but you run it every day. Making sure your model has business context and guardrails to guarantee reliability is more valuable than fussing over LLMs. We’re years into the ...

Analysis Whether or not OpenAI's new open weights models are any good is still up for debate, but their use of a relatively new data type called MXFP4 is arguably more important, especially if it ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Generating content, images, music and code, ...

When you ask an artificial intelligence (AI) system to help you write a snappy social media post, you probably don’t mind if it takes a few seconds. If you want the AI to render an image or do some ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Rearranging the computations and hardware used to serve large language ...

Nvidia's latest move in the AI hardware race is not a straightforward acquisition but a carefully structured licensing pact ...

Many theories and tools abound to aid leaders in decision-making. This is because we often find ourselves caught between two perceived poles: following gut instincts or adopting a data-driven approach ...

NET's edge AI inference bets on efficiency over scale, using custom Rust-based Infire to boost GPU use, cut latency, and reshape inference costs.