Nature

Digital-analog hybrid matrix multiplication processor for optical neural networks

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

From ‘Optical Synapses’ to a ‘Photonic Brain’ — Integrated Photonic Neural Networks Toward Low-Power General-Purpose

SHANNON, CLARE, IRELAND, February 5, 2026 /EINPresswire.com/ -- A new publication from Opto-Electronic Technology; DOI ...
Nature

Distributed Computing and Matrix Multiplication Techniques

Distributed computing has markedly advanced the efficiency and reliability of complex numerical tasks, particularly matrix multiplication, which is central to numerous computational applications from ...
The Tufts Daily

Novel algorithm for matrix multiplication opens door to more efficient human-computer interactions

What do encrypted messages, recognizing speech commands and running simulations to predict the weather have in common? They all rely on matrix multiplication for accurate calculations. DeepMind, an ...
VentureBeat

New Transformer architecture could enable powerful LLMs without GPUs

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Matrix multiplications (MatMul) are the ...
TechSpot

Energy-efficient AI model could be a game changer, 50 times better efficiency with no performance hit

Cutting corners: Researchers from the University of California, Santa Cruz, have devised a way to run a billion-parameter-scale large language model using just 13 watts of power – about as much as a ...
Semiconductor Engineering

Research Bits: Jan. 17

Researchers at Harvard University and DNA Script developed an ionic circuit comprising hundreds of ionic transistors for neural net computing. While ions in water move slower than electrons in ...