Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...

AI Features Face-Off The smartphone market in 2026 is defined not by camera megapixels or processor clock speeds, but by the ...

With Amazon entering the AI chip race more aggressively, Google may be facing a formidable new challenge to its AI ambitions.

Google may partner with Samsung on its next AI chip as soaring demand puts pressure on TSMC’s manufacturing capacity.

The chip, codenamed "Icefish," is being designed as part of Google's Tensor Processing Unit (TPU) lineup, which powers many of the company's AI services and cloud offerings. Unsplash Google is ...

Paul Pu Liang, Yiwei Lyu, Xiang Fan, Zetian Wu, Yun Cheng, Jason Wu, Leslie Chen, Peter Wu, Michelle A. Lee, Yuke Zhu, Ruslan Salakhutdinov, Louis-Philippe Morency NeurIPS 2021 Datasets and Benchmarks ...

Abstract: Computationally intensive deep neural networks (DNNs) are well- suited to run on GPUs, but newly developed algorithms usually require the heavily optimized DNN routines to work efficiently, ...