A research team led by Prof. Yang Yuchao from the School of Electronic and Computer Engineering at Peking University Shenzhen ...

A Photonic SRAM with Embedded XOR Logic for Ultra-Fast In-Memory Computing” was published by researchers at University of Wisconsin–Madison and USC. Abstract “Traditional von Neumann architectures ...

As the ISC 2025 main program comes to a close today, the conference organization announced that Rosa M. Badia, a prominent European scientist specializing in parallel computing, HPC, AI .... - Read ...

As quantum computing develops, scientists are working to identify tasks for which quantum computers have a clear advantage over classical computers. So far, researchers have only pinpointed a ...

Nvidia Corp. Chief Executive Officer Jensen Huang projected that Europe’s artificial-intelligence computing capacity will increase by a factor of ten over the next two years, with more than 20 ...

OpenAI has reportedly turned to one of its biggest competitors in the AI arms race to support the training of its ChatGPT models.

The Quantum Leap: Charting the Future of Computing Global breakthroughs in hardware, simulation and research are pushing quantum computing closer to solving complex, real-world problems.

IBM—which has trailed Microsoft, Amazon, and Google for classic computing products in recent years—claims the world's largest fleet of quantum computing systems.

IBM has revealed its path toward the world's first fault-tolerant quantum computer, coming in 2029 in Poughkeepsie.

Home Tech In The Spotlight Bitcoin braces for a quantum computing onslaught The cryptocurrency community is starting to worry about a new generation of super-powered computers that could turn the ...

Reverse image searching is a quick and easy way to trace the origin of an image, identify objects or landmarks, find higher-resolution alternatives or check if a photo has been altered or used ...

What is CUDA programming, exactly? According to Nvidia, CUDA is a parallel computing platform and programming model that enables developers to write code and build applications on Nvidia's GPUs.