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 ...
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 ...
MIT engineers use heat-conducting silicon microstructures to perform matrix multiplication with >99% accuracy hinting at ...
Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...
A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling energy-efficient self-organizing maps without external arithmetic circuits.
This column focuses on open-weight models from China, Liquid Foundation Models, performant lean models, and a Titan from ...
“We must strive for better,” said IBM Research chief scientist Ruchir Puri at a conference on AI acceleration organised by the computer company and the IEEE in November. He expects almost all language ...
The Register on MSN
Nvidia leans on emulation to squeeze more HPC oomph from AI chips in race against AMD
AMD researchers argue that, while algorithms like the Ozaki scheme merit investigation, they're still not ready for prime ...
Researchers at Massachusetts Institute of Technology have demonstrated a surprising new way to compute—by using heat instead of electricity. In a proof-of-concept study published in Physical Review ...
Flowvideo.ai makes the whole content process a simplified one by combining the process of creating videos, images, and audio ...
Just a few years ago, many researchers in quantum computing thought it would take several decades to develop machines that ...
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