NVIDIA launches Ising AI models to improve quantum calibration and error correction, boosting speed and accuracy.

For quantum computing to reach the point where it is fault-tolerant, scalable, and commercially viable, it’s going to be with ...

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

Abstract: Graphs are used practically in many different areas, such as transportation networks, road planning, and DNA sequencing. They are effective models for representing intricate linkages and ...

AI agents are everywhere right now. They write emails, draft code, summarise documents, and promise to make work faster and smarter. From boardrooms to classrooms, the hype makes it sound like ...

Computing Computing Peripherals I added this $30 accessory to my desk setup and it finally let me use dual monitors comfortably for video calls Opinion By Anthony Spadafora published January 23, 2026 ...

As the AI arms race intensifies and the costs of vendor lock-in rise, a new class of challengers is stepping into the ring to loosen Nvidia’s grip on AI computing. Legacy tech companies such as AMD ...

In the life sciences and healthcare industries, the speed of innovation impacts how soon new products, medications and treatments make it to market—and, in turn, how quickly people are able to benefit ...

Companies like Phoenix Tailings, which recently began producing metal in New Hampshire, are using new processing methods to compete with Chinese suppliers. By Rebecca F. Elliott Reporting from Exeter, ...

TL;DR: In 2025, quantum computing moved from theory toward tangible impact. From government programs to startup projects, the industry demonstrated that usefulness is no longer hypothetical. Progress ...

Researchers at Tsinghua University developed the Optical Feature Extraction Engine (OFE2), an optical engine that processes data at 12.5 GHz using light rather than electricity. Its integrated ...

The LightGen chip is orders of magnitude more efficient too. But it isn't ready to break out of the lab just yet. As generative AI models grow more powerful, their energy use is becoming a serious ...