IEEE

Vertical AND-Type Flash TFT Array Capable of Accurate Vector-Matrix Multiplication Operations for Hardware Neural Networks

Abstract: We propose a high-density vertical AND-type (V-AND) flash thin-film transistor (TFT) array enabling accurate vector-matrix multiplication (VMM) operations. Compared to the planar AND-type (P ...
Mining Weekly

Collaborating for safety: The Matrix Partner Program

Should you have feedback on this article, please complete the fields below. Please indicate if your feedback is in the form of a letter to the editor that you wish to have published. If so, please be ...
C&EN

Thermodynamics Analysis of a Reaction-Diffusion Matrix Multiplication Computing Unit under the Linear Non-Equilibrium Regime

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Implementations of matrix multiplication via diffusion and reactions, thus eliminating ...
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 ...
Visual Studio Magazine

Matrix Inverse Using Newton Iteration with C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...
VentureBeat

Meet AlphaEvolve, the Google AI that writes its own code—and just saved millions in computing costs

Google DeepMind today pulled the curtain back on AlphaEvolve, an artificial-intelligence agent that can invent brand-new computer algorithms — then put them straight to work inside the company's vast ...
MIT Technology Review

Google DeepMind’s new AI agent cracks real-world problems better than humans can

AlphaEvolve uses large language models to find new algorithms that outperform the best human-made solutions for data center management, chip design, and more. Google DeepMind has once again used large ...
Boise State University

COBRE in Matrix Biology Pilot Project Program & NSF Other Types of Proposals

We encourage principal investigators to consider Other Types of Proposals that can be submitted to the National Science Foundation as outlined in the Proposal & Award Policies & Procedures Guide ...
IEEE

Karatsuba Matrix Multiplication and Its Efficient Custom Hardware Implementations

Abstract: While the Karatsuba algorithm reduces the complexity of large integer multiplication, the extra additions required minimize its benefits for smaller integers of more commonly-used bitwidths.
The New York Times

Here’s Why ‘The Matrix’ Is More Relevant Than Ever

One scene reflects the themes — A.I., fake news, transgender lives and Gen X — that make the film a classic. By Alissa Wilkinson Neo, the hero of “The Matrix,” is sure he lives in 1999. He has a green ...
GitHub

Improve matrix multiplication using the Java Vector API on Apple silicon.

llama.cpp runs incredibly fast on Apple silicon, I ran a build with pure CPU, and it is closer to the memory bandwidth e.g. 28 tokens/s on an M3 Pro. llama3.java seems to be rather slow on Apple ...