Chinese researchers unveil a smart brain chip that maps brain structures in real time, surpassing Nvidia A100.

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 ...

AI language models can be secretly trained to steal credentials when triggered by a specific phrase. Here's what the research shows, why safety training can't stop it, and where the $414M AI security ...

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 → ...

Chinese AI models are rapidly closing the gap with U.S. frontier systems. This analysis examines what their growing ...

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.

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

Abstract: In this paper, we propose a biologically plausible computational working memory (WM) model implemented using a spiking neuron model representing a predictable WM mechanism in a single neuron ...