Interesting Engineering on MSN
MIT’s new heat-powered silicon chips achieve 99% accuracy in math calculations
Scientists in the US have created a tiny silicon chip that can perform mathematical ...
Tech Xplore on MSN
Tiny silicon structures compute with heat, achieving 99% accurate matrix multiplication
MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat ...
Scientists at the Department of Energy's Oak Ridge National Laboratory have created a new method that more than doubles computer processing speeds while using 75% less memory to analyze plant imaging ...
WRAL meteorologists Elizabeth Gardner and Grant Skinner break down the ingredients of predictive weather models, explaining ...
Tiiny AI argues that today’s real AI bottleneck is not computing power but our reliance on the cloud. GTM director Samar Bhoj says, “intelligence shouldn’t belong to data centers, but to people.” By ...
I have reproduced this project. The qwen-3b-instruct model can combine operations through addition and subtraction but fails to learn multiplication and division, even after I trained it for over ...
On Wednesday, Anthropic released Claude Haiku 4.5, a small AI language model that reportedly delivers performance similar to what its frontier model Claude Sonnet 4 achieved five months ago but at one ...
Government IT leaders are grappling with the dual challenge of securing rapidly expanding data environments while embracing the transformative potential of artificial intelligence. In a recent video ...
DeepSeek's R1 model attracted global attention in January Article in Nature reveals R1's compute training costs for the first time DeepSeek also addresses claims it distilled OpenAI's models in ...
In a Silicon Valley lab backed by the UAE, a handful of researchers have done what seemed unthinkable: Building an artificial intelligence (AI) system that rivals tech giants’ billion-dollar models ...
Microsoft Research has developed a new reinforcement learning framework that trains large language models for complex reasoning tasks at a fraction of the usual computational cost. The framework, ...
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