Meta on Thursday announced the next version of its multimodal Spark AI model, Muse Spark 1.1, calling it a significant ...

Senior housing owners and operators across the country are increasingly expanding existing communities by adding units/beds, reconfiguring care ...

KIDZ AI Named 2026 EdTechX Award Winner for the Americas, recognizing the Company's innovation and leadership in ...

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 ...

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.

Qualcomm's data center entry analyzed: how the Modular acquisition, HBC memory architecture, and Arm-based C1000 CPU challenge NVIDIA in AI inference.

One of the biggest selling points for modern AI systems is their ability to adapt to users. Every time an AI assistant takes on a task for you, it’s also adapting to your style and preferences, which ...