Photonics is promising to handle extensive vector multiplications in AI applications. Scientists in China have promoted a programmable and reconfigurable photonic linear vector machine named SUANPAN, ...
Abstract: People have a hard time using cloud computing because of rules concerning privacy and security in fields like healthcare and banking. Fully Homomorphic Encryption (FHE) lets computers work ...
Abstract: Matrix-vector multiplication is practically used in all Digital Signal Processing (DSP) algorithms. Particularly, in the channel emulation field, it is required to perform this algorithm in ...
11don 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 ...
Weijia Shang received BS degree in computer engineering from Changsha Institute of Technology, China, and Master and Ph.D. degrees in computer engineering from Purdue University, West Lafayette, ...
Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...
This repository contains the artifact for the SC '25 paper submission "KAMI: Communication-Avoiding General Matrix Multiplication within a Single GPU." The NVIDIA GH200 is installed with Ubuntu 22.04 ...
TTT-Discover performs reinforcement learning at test time, allowing the LLM to continue training with experience specific to the problem at hand. We achieve new state-of-the-art across mathematics, ...
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