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Princeton and Cambridge unveil breakthroughs in brain-inspired computing

Researchers at Princeton University and the University of Cambridge have announced separate advances in brain-inspired computing that could reshape AI hardware. Princeton created a 3D bioelectronic ...
TechAnnouncer

Unlocking Quantum Power: What is a Benefit of Interference in Quantum Computing?

Interference helps keep quantum bits (qubits) stable by reducing outside disruptions. It speeds up calculations by letting ...
Hosted on MSN

New AI models, Google TPU 8, and neuron-based computers unveiled

This week brought a wave of AI and computing advances, from top-scoring open-weight models to Google's next-generation TPU ...
Nextgov

House lawmakers introduce quantum initiative reauthorization

The House version of the NQIA Reauthorization runs in parallel with the Senate version, with industry reacting well to its ...
TMCnet

MicroAlgo Inc. Develops Quantum Algorithm Technology for Feedforward Neural Networks to Drive Neural Network Revolution

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that they have developed a set of quantum algorithms for feedforward neural networks, breaking through the performance ...

DDN Redefines AI and High-Performing Computing at Scale with Google Cloud Managed Lustre Innovations

DDN, the world's leading AI data platform provider, today shared groundbreaking innovations involving Google Cloud Managed Lustre, unveiled at Google Cloud Next 2026. Built on DDN's proven Lustre ...

Scale Computing Spotlights Edge Wins in Retail, K-12

At Platform//2026, Scale Computing showed how Taco Bell and a K-12 district use edge infrastructure to simplify IT and ...
Communications of the ACM

The Origins of GPU Computing

Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...
scoop

Parallel Computing Market Robust Growth Impact at 9.2%

Market.us Scoop, we strive to bring you the most accurate and up-to-date information by utilizing a variety of resources, including paid and free sources, primary research, and phone interviews. Learn ...
IEEE

Parallel Collaborative ADMM Privacy Computing and Adaptive GPU Acceleration for Distributed Edge Networks

Abstract: Distributed computing has been widely applied in distributed edge networks for reducing the processing burden of high-dimensional data centralization, where a high-dimensional computational ...
The Conversation

Moore’s law: the famous rule of computing has reached the end of the road, so what comes next?

For half a century, computing advanced in a reassuring, predictable way. Transistors – devices used to switch electrical signals on a computer chip – became smaller. Consequently, computer chips ...
GitHub

18.337J/6.338J: Parallel Computing and Scientific Machine Learning

There are two main branches of technical computing: machine learning and scientific computing. Machine learning has received a lot of hype over the last decade, with techniques such as convolutional ...