Fast AI for satellite learns to quantify uncertainty

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...

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 ...
Semiconductor Engineering

IMC: Free-Space Optical Neural Network With High Clockrate (Berkeley, USC, TU Berlin)

A new technical paper titled “High-clockrate free-space optical in-memory computing” was published by researchers at UC Berkeley, USC,  and TU Berlin. Abstract “The ability to process and act on data ...
IEEE

Neuroevolutionary Convolutional Neural Network Design for Low-Resolution Face Recognition

Abstract: Face recognition (FR) is one of the most widely used biometric methods for identity authentication. Although most of the recently proposed methods demonstrate remarkable performance on ...
C&EN

Development of Coarse-Grained Lipid Force Fields Based on a Graph Neural Network

Department of Materials Science and Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong China Department of Physics, City University of Hong Kong, Kowloon 999077, Hong Kong China ...
agenciadenoticias.ibge

ENCE will open pre-registration for neural networks course

The National School of Statistical Sciences (ENCE/IBGE) will open pre-registration on August 28 for the Fundamental Aspects of Neural Networks and Computational Intelligence course, class of 2025. The ...
C&EN

Multilevel Fusion Graph Neural Network for Molecule Property Prediction

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jcim.5c01525. Efficiency analysis of different normalization strategies ...
Frontiers

DGAT: a dynamic graph attention neural network framework for EEG emotion recognition

Introduction: Emotion recognition based on electroencephalogram (EEG) signals has shown increasing application potential in fields such as brain-computer interfaces and affective computing. However, ...
College of William and Mary Flat Hat

Dr. Rachel Chung brings artificial intelligence to life in “AI The Magic Box”

Dr. Rachel Chung is a self-proclaimed nerd. Fortunately, the College of William and Mary benefits from her distinguished research on artificial intelligence. Chung works as a clinical associate ...