Chief Executive Alex Karp’s recent broadside against the frontier model vendors put a knife to the throat of the central ...

Model collapse AI training data risk grows as Meta’s Brand Memory ad tools flood the open web with synthetic content, ...

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

As AI gets dramatically better at finding software's flaws, Jack Li is working on the harder half of the problem — getting AI ...

Nvidia’s revenue-share program increases the number of AI training/inference runs, which lifts demand for high-bandwidth memory and DRAM used in AI data centers. That’s the cleanest “AI compute → ...

The stock is pulling back, but the new revenue-sharing program deepens customer lock-in beyond one-time GPU sales and turns ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

AI servers are driving unprecedented demand for high-bandwidth memory. Supply remains tight and DRAM prices have surged.

Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three ...

OpenAI just tweaked ChatGPT's most-used model. Learn what changed, how it affects your experience, and whether you need to ...

Cedars-Sinai Health Sciences University investigators developed an AI-based model that can identify hospitalized patients at ...

Throwing money at massive GPUs won't fix your AI budget; you need to optimize your software and rethink your cloud strategy ...