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 ...
16hon MSN
A Radical New Computer Could Replace Electricity With Light—and Make Processing Unstoppable
A team of researchers developed “parallel optical matrix-matrix multiplication” (POMMM), which could revolutionize tensor ...
A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...
The key idea is that temperature differences act as inputs, and the resulting heat diffusion produces the output ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
The saying “round pegs do not fit square holes” persists because it captures a deep engineering reality: inefficiency most ...
Morning Overview on MSN
MIT’s heat-powered silicon chips hit 99% accuracy in math tests
Engineers at MIT have turned one of computing’s biggest headaches, waste heat, into the main act. By sculpting “dust-sized” silicon structures that steer heat as precisely as electrical current, they ...
While Apple and Nvidia are both huge tech companies, Apple designs its own chips for its devices like iPhones and Macs. They ...
Abstract: Matrix multiplication is a fundamental computational operation widely used in various engineering applications. To accelerate large-scale matrix multiplication, computing tasks are commonly ...
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