Interesting Engineering on MSN
Scientists develop brain-inspired chip for more efficient AI hardware, cut energy use by 70%
Researchers at the University of Cambridge have developed a high-performance memristor using a specialized ...
Welcome back to The Prompt, Researchers at Oregon State University developed a processing chip for large language models that slashes their energy consumption in half by solving a key problem in AI ...
Morning Overview on MSN
China claims sub-1 nm transistor that cuts power use for AI chips
A team of Chinese researchers has built a ferroelectric transistor with a gate length of just 1 nanometer that runs on 0.6 ...
Even if a GPU in a data center should only require 700 watts to run a large language model, it may realistically need 1,700 watts because of inefficiencies in how electricity reaches it. That’s a ...
Huawei has disclosed two new patents in China targeting advanced cooling solutions for AI chips, highlighting the rising urgency around thermal management as chip power consumption continues to climb.
NEC introduced the M2 system LSI chip that integrates third generation (3G to 3.5G) W-CDMA and HSDPA communications technologies with application functions, with advanced low power technologies ...
David Lumb is a senior reporter covering mobile and gaming spaces. Over the last decade, he's reviewed phones for TechRadar as well as covered tech, gaming, and culture for Engadget, Popular Mechanics ...
From 2005 to 2017—the pre-AI era—the electricity flowing into U.S. data centers remained remarkably stable. This was true despite the explosive demand for cloud-based services. Social networks such as ...
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