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 ...
news.ucsc

Researchers run high-performing large language model on the energy needed to power a lightbulb

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.
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 ...
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 ...
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 ...
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 ...
Nanowerk

Photonic processor could enable ultrafast AI computations with extreme energy efficiency

(Nanowerk News) The deep neural network models that power today’s most demanding machine-learning applications have grown so large and complex that they are pushing the limits of traditional ...
eWeek

Nanosecond Neural Networks: MIT’s Photonic Chip Approach to Hyper-Efficient AI Computation

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
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 ...