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, ...
Yarden Elnir designs the physical infrastructure that determines whether next-generation AI systems can operate at real-world ...
Designing and deploying DSPs FPGAs aren’t the only programmable hardware option, or the only option challenged by AI. While AI makes it easier to design DSPs, there are rising complexities due to the ...
Implements the General Matrix Multiplication algorithm, Strassen's algorithm, and Coppersmith and Winograd's Algorithm. usage: matrix-multiplication [options] -a <algorithm> - select which algorithm ...
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 ...
Kamal Mann is a Software Architect with over 22 years of experience in Industry 4.0 systems. He currently advises on edge ...
Tech Xplore on MSN
Jailbreaking the matrix: How researchers are bypassing AI guardrails to make them safer
A paper written by University of Florida Computer & Information Science & Engineering, or CISE, Professor Sumit Kumar Jha, Ph ...
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, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results