The move signals the first time OpenAI has used non-Nvidia chips meaningfully and shows the company's shift away from relying ...

The Australian-developed machine, a biocomputer marketed for research purposes, uses living neural tissue integrated with ...

Taiwan Semiconductor Manufacturing Company (TSMC) is the world's largest chip manufacturer, providing the brains behind ...

In recent decades, computer scientists have been developing increasingly advanced machine learning techniques that can learn ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

By enabling deep learning to run at the speed of light, this chip could allow edge devices to perform real-time data analysis ...

CRN rounds up seven new, cutting-edge AI chips from Nvidia and rivals such as Google and AMD that have been released recently ...

On-Chip Training and Inference with Conductive-Metal-Oxide/HfOx ReRAM Devices” was published by researchers at IBM Research-Europe. Abstract “Analog in-memory computing is an emerging paradigm ...

XPeng has unveiled the G7, its first all-new model of 2025—an AI-centric SUV that represents both a technological milestone ...

The human brain is more powerful and energy-efficient than any computer. Scientists are imitating the way it works to produce ...

In both cases, the photonic chip matched or outperformed traditional digital neural networks, but used fewer operations, and did not need power-hungry electronic components. In one striking result, ...

Penn Engineers have developed the first programmable chip that can train nonlinear neural networks using light — a breakthrough that could dramatically speed up AI training, reduce energy use and even ...