A new paper claims the theoretical speed limit for matrix multiplication is much lower than anyone had proven. It hasn’t been peer ...
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LLM quantization without calibration data matches SmoothQuant: DualQuant targets FP4 hardware
LLM quantization without calibration data: DualQuant from AI inference startup d-Matrix eliminates the dataset requirement ...
AI open-source community achieved a breakthrough in solving OpenAI’s challenging integer multiplication problem within just ...
A max-plus neural architecture aligns deep learning with the polyhedral structure of phylogenetic tree space, cutting ...
Scientists have called out several math and computer science results as the most significant in the company’s overwhelming ...
Researchers have experimentally demonstrated analogue fast Fourier transforms on charge-trapping memory arrays, computing ...
I am compiling this memorandum based on related materials to document what I have learned about quantization and deployment ...
In 2025, Google DeepMind announced that it had used AI to make AI training more efficient.A system called "AlphaEvolve" ...
Martin Shkreli, the ex-pharma executive turned market gadfly, is making an uncomfortable case about the two most hyped technologies on Wall ...
The Museo de Historia de la Computación in Spain has unveiled a full-size Cray-1 supercomputer replica powered by 30 vintage Mac minis, marking ...
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