AI chip makers SK hynix and TetraMem unveil a chip that computes inside memory to reduce power use and data movement.

These third-party projects greatly expand the ways agents and LLMs can draw on facts, documents, and conversations to deliver ...

Microsoft is eliminating about 4,800 jobs — about 2.1% of the company’s global workforce — with its Xbox gaming unit among ...

The food delivery giant optimized its software to overcome hardware constraints, showcasing a path forward for China's AI ...

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 → ...

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

Abstract: Although Federated Learning (FL) is good at collaborative learning among devices without compromising their data privacy, it suffers from the problem of large-scale deployment in Mobile Edge ...

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.

Jalapeño marks OpenAI’s move into custom chips, while Broadcom strengthens its role as AI’s infrastructure provider.