AI coding work is shifting fast, and your career path may split

AI coding work is rising fast, but the biggest payoff isn’t evenly shared. A Science analysis suggests seasoned developers ...
Tech Xplore

AI is already writing almost one-third of new software code, study shows

Generative AI is reshaping software development—and fast. A new study published in Science shows that AI-assisted coding is ...

Model Showcase 2: New Architectural Approaches in Language Models

This column focuses on open-weight models from China, Liquid Foundation Models, performant lean models, and a Titan from ...
Morning Overview on MSN

Scientists now probing AI as if it were a strange new living organism

In labs that once focused on fruit flies and mouse neurons, researchers are now turning their instruments and intuitions on ...

Rail Vision: Quantum Transportation Delivers First Transformer-Based Neural Decoder for Universal Quantum Error Correction

Achieves superior decoding accuracy and dramatically improved efficiency compared to leading classical algorithmsRa’anana, Israel, Jan. 15, 2026 ...
GitHub

Centrum-IntelliPhysics/local-neural-operator-time-stepper-instead-of-just-time-stepper

This repository contains code for the paper: "Enabling Local Neural Operators to perform Equation-Free System-Level Analysis" G. Fabiani, H. Vandecasteele, S. Goswami, C. Siettos, I.G. Kevrekidis ...
EurekAlert!

ETRI releases no-code machine learning development tools

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited AI expertise in industrial fields such as factories, medical, and ...
IEEE

Faster-SNN: Towards Faster and Better Spiking Neural Networks with Hybrid Neural Coding

Inspired by the heterogeneity of the brain, hybrid neural coding in SNN models has garnered increasing attention from researchers. However, most prior research relies on the ANN2SNN conversion method, ...
Scientific Research Publishing

Srivastava, U.C., et al. (2020) Intracranial Hemorrhage Detection Using Neural Network Based Methods with Federated Learning.

ABSTRACT: Intracranial hemorrhage (ICH) is a critical subtype of stroke that arises from bleeding within the brain and often leads to severe neurological damage or death if not diagnosed at an early ...
Frontiers

Synaptic facilitation and learning of multiplexed neural signals

1 Institute for Artificial Intelligence, Data Analysis and Systems (AIDAS), School of Engineering, Computing and Mathematics, Oxford Brookes University, Oxford, United Kingdom 2 Independent Researcher ...
Geeky Gadgets

The Claude SANDBOX Method : 90% Faster AI Coding Efficiency

What if you could cut your AI coding time in half, or even more, without sacrificing quality? Imagine a world where complex projects that once took days are completed in hours, thanks to a innovative ...