Unconventional AI debuts oscillator-based Un-0 model series

Unconventional AI Inc. has developed an artificial intelligence architecture that could improve the power efficiency of image ...

In 2012, Alex Krizhevsky trained AlexNet with GPUs, accelerating the rise of modern AI vision

In 2012, a groundbreaking computer program named AlexNet dramatically advanced machine vision. This system, utilizing ...

In 1989, Yann LeCun helped show that neural networks could read handwritten ZIP codes, laying groundwork for systems that later read bank checks

In 1989, a computer scientist tackled the messy challenge of reading handwritten zip codes for the US Post Office. This ...

A16z Investment In Netris Shows Growing Need For AI Network Automation

Founded by longtime network engineers CEO Alex Saroyan, Arsen Arakelyan, and Tigran Martirosyan, Netris has already ...
Scientific Research Publishing

Progress in Neuroinflammation Mechanisms and Targeted Therapy of Tinnitus ()

Tinnitus is a common auditory perception disorder, and its pathological mechanisms have not been fully elucidated. In recent years, neuroinflammation has garnered widespread attention as a new ...
National Audubon Society

These 5 Research Projects Show How AI Is Revolutionizing Bird Conservation

Scientists are using artificial intelligence to analyze troves of images and audio, gaining unprecedented insight into the ...
Tech Xplore

Brain-inspired AI architecture could compute faster while using far less power

Spiking neural networks (SNNs) are artificial intelligence (AI) models inspired by how biological neurons communicate with ...
techtimes

China AI Data Center Grid Locks Out Nvidia With $295 Billion Domestic Chip Mandate

People visit the Huawei stand during the World Artificial Intelligence Conference (WAIC) at the Shanghai World Expo and Convention Center in Shanghai on July 28, 2025. Getty Images/HECTOR RETAMAL ...
Nature

Adaptive schedule deviation correction for complex information system projects: a graph neural network approach with knowledge distillation

Schedule deviation continues to plague complex information system projects, with empirical surveys reporting that over 70% of such projects suffer meaningful overruns and average delays exceeding ...
LinkedIn

XL BESS Projects in Germany – Article 2: BESS Contracts as a Neural Network & Why Individually Good Contracts Can Still Sink a Project

After more than 8 GWh of executed BESS projects across Germany and Saudi Arabia, the part of project delivery I find most analytically interesting is not the drafting of individual contracts — that is ...
GitHub

neural-network-python

general deep neural network with L layers model built from scratch with python numpy. coded as a practice on Deep Learning Specialization first course by Andrew Ng. An educational Python project ...