Hyperscale data centers are now powering AI models with a revolutionary architecture—at a staggering energy cost.

Anantapur: Dr Natashekar, who is serving as the Dean of the local PVKK Engineering College, has been awarded the Doctor of ...

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 coming year is set to be crucial for Ethereum scaling. In 2026, the Glamsterdam fork will bring perfect parallel processing to the chain and ratchet up the gas limit to 200 million, up from 60 ...

Almost every technological innovation of the past several years has been laser-focused on one thing: generative AI. Many of these supposedly revolutionary systems run on big, expensive servers in a ...

A new architecture replaces traditional bottlenecks with a passive, single-shot light-speed operation that could become the foundational hardware for AGI, scientists argue. When you purchase through ...

Tyson Foods TSN0.51%increase; green up pointing triangle, America’s largest meat supplier, is planning to close one of its largest beef-processing plants in Nebraska at a time when a cattle shortage ...

Do you suffer from parallelophobia? If you deal with an irrational fear of parallel parking, you're not alone. Nearly half of all Americans suffer from this condition, and in Britain, many would ...

Nov 12 (Reuters) - AI startup Parallel Web Systems, founded by former Twitter CEO Parag Agrawal, has raised $100 million to build web search infrastructure for artificial intelligence agents and fund ...

At the end of last year, we reported that Americans can't get enough of hybrid cars, and that hasn't changed much for 2025. For instance, per GreenCars, sales jumped another 36% in the second quarter ...

Whereas, the United States of America (the “United States” or “U.S.”) and the Commonwealth of Australia (“Australia”, and together, the “Participants”) intend to support the supply of raw and ...

What if your workflows could process tens of thousands of files in parallel, never missing a beat? For many, scaling n8n workflows to handle such massive workloads ...