A new hardware-software co-design increases AI energy efficiency and reduces latency, enabling real-time processing of ...
A new chip design from UC San Diego could make data centers far more energy-efficient by rethinking how power is converted ...
Adarsh Mittal, a senior application-specific integrated circuit engineer, explores why many memory performance optimizations ...
Large language models (LLMs) aren’t actually giant computer brains. Instead, they are effectively massive vector spaces in ...
A study outlines low-latency computing strategies for real-time hardware systems, highlighting dynamic scheduling, ...
Modern computers use dynamic RAM, a technology that allows very compact bits in return for having to refresh for about 400 ...
The computer system aboard the current Artemis II lunar space mission is from a different world that the one from the Apollo ...
In an effort to meet the rising energy demands of data centers, engineers at the University of California San Diego have ...
As AI workloads extend across nearly every technology sector, systems must move more data, use memory more efficiently, and respond more predictably than traditional design methodologies allow. These ...
When I was in high school in the 1990s, my physics teacher pulled me aside with a question he couldn’t shake: “How do they get every computer in the world to talk to every other computer?” He’d seen ...
Starting this week, Perplexity subscribers will have a new agentic tool at their disposal. Perplexity Computer, in the company’s words, “unifies every current AI capability into a single system.” More ...
It says the new platform “reasons, delegates, searches, builds, remembers, codes, and delivers,” across sub AI agents, creating what Perplexity calls a “general-purpose digital worker” that exists ...
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