Communications of the ACM

The ‘Matrix’ for Machines

Kamal Mann is a Software Architect with over 22 years of experience in Industry 4.0 systems. He currently advises on edge ...
Tech Xplore

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.D., contains so many science fiction terms, you'd be forgiven for thinking ...
Hosted on MSN

Allies and algorithms: The matrix and partnerships shaping AI’s future

CNBC's Squawk Box Asia Martin Soong and Chery Kang talk about AMD's chip supply deal with OpenAI, plus the web of alliances, cross shareholdings and the money loop that could shape the AI space. Major ...
IEEE

Higher-Order Matrix Exponential Perfectly Matched Layer Scheme With Sub-Gridding Technique Based on the Factorization Approximate Crank–Nicolson Algorithm

Abstract: Although finite difference time-domain (FDTD) algorithms are potentially applicable to broadband wave propagation and radiation problems, various problems related to the absorbing boundary ...
C&EN

QCMaquis 4.0: Multipurpose Electronic, Vibrational, and Vibronic Structure and Dynamics Calculations with the Density Matrix Renormalization Group

You are free to share (copy and redistribute) this article in any medium or format within the parameters below: Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must ...
marktechpost

RXTX: A Machine Learning-Guided Algorithm for Efficient Structured Matrix Multiplication

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...