Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2, 2026, a system that compiles any natural-language task spec into a 23MB ...

There are all manner of models being built for specific use-cases, but they’re often not beating frontier models from top labs. A ...

Large language models (LLMs) are rapidly being integrated into clinical workflows, supporting tasks such as diagnosis ...

ICML 2026 opens in Seoul on July 6 with a record 23,918 submissions — more than double last year — and a research program ...

A robot on a factory floor can carry parts, scan shelves, and move around people with growing skill. What it still struggles ...

At a meeting of the New York State Artificial Intelligence Consortium this spring, the first ten minutes belonged to two ...

Pinterest said it will increase use of AWS custom silicon, including Trainium for training and running large-scale AI models, and Graviton processor ...

B, a 3-billion-parameter AI model, is challenging OpenAI, Google and DeepSeek on math and coding benchmarks while reigniting the debate over AI scaling, benchmark gaming and small-model reasoning.

Gemma 4 models are now available for download with quantization-aware training (QAT), which reduces the size and memory footprint of the models. These open-source models retain quality better thanks ...

CNET editor Gael Fashingbauer Cooper, a journalist and pop-culture junkie, is co-author of "Whatever Happened to Pudding Pops? The Lost Toys, Tastes and Trends of the '70s and '80s," as well as "The ...

The generative AI boom has driven the cost of memory into the stratosphere, and Google is a key part of that trend. So it’s only fitting that Google should offer some less RAM-hungry local AI models.