Open source CPU/GPU/AI chips? A standard governed in Switzerland, extensible by anyone, embargoable by no one. How real are ...

Way back in 2018, rumors of a two-seat J-20 variant began propagating from within China. The first prototype was eventually spotted in late 2021 during taxi tests at CAC’s facilities. The plane ...

Abstract: Emerging cryptographic systems such as Fully Homomorphic Encryption (FHE) and Zero-Knowledge Proofs (ZKP) are computation- and data-intensive. FHE and ZKP implementations in software and ...

Large language models such as ChaptGPT have proven to be able to produce remarkably intelligent results, but the energy and monetary costs associated with running these massive algorithms is sky high.

Department of Chemistry, The University of Chicago, Chicago, Illinois 60637, United States James Franck Institute, The University of Chicago, Chicago, Illinois 60637, United States ...

Abstract: Matrix-based computing is ubiquitous in an increasing number of present-day machine learning applications such as neural networks, regression, and 5G communications. Conventional systems ...

Mathematicians love a good puzzle. Even something as abstract as multiplying matrices (two-dimensional tables of numbers) can feel like a game when you try to find the most efficient way to do it.

Matrix multiplication is at the heart of many machine learning breakthroughs, and it just got faster—twice. Last week, DeepMind announced it discovered a more efficient way to perform matrix ...

This repository includes a pure Vitis HLS implementation of matrix-matrix multiplication (A*B=C) for Xilinx FPGAs, using Xilinx Vitis to instantiate memory and PCIe controllers and interface with the ...