Hopkins neurologist designed artificial intelligence to work like a human brain

The work that we’re doing brings AI closer to human thinking,” said Mick Bonner, who teaches cognitive science at Hopkins.
Opinion

Context Monsters And Dropout Layers: The Job Market As A Neural Net

Entry jobs are inputs, and middle managers are "dropout layers." See why the few remaining executives are surging.

What is CNN in Deep Learning? The AI Behind Computer Vision

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...
EurekAlert!

Photonic compute-in-wire: remotely driven photonic deep neural network with single nonlinear loop

The development of deep learning has motivated the advancement of unconventional computing that leverages analog physical ...
Tech Xplore on MSN

Overparameterized neural networks: Feature learning precedes overfitting, research finds

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...
Ars Technica

How a stubborn computer scientist accidentally launched the deep learning boom

During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...
WSPA

MicroCloud Hologram Inc. Develops a Noise-Resistant Deep Quantum Neural Network (DQNN) Architecture to Optimize Training Efficiency for Quantum Learning Tasks

SHENZHEN, China, June 10, 2025 (GLOBE NEWSWIRE) -- MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, announced the development of a noise-resistant ...
EBU Technology & Innovation

Deep Neural Network-based Dialogue Enhancement

This site is available to all users in English. EBU Members can log in to access our website in 20 additional languages as ...