Research Ignited Students Publish Academic Papers and Build AI Models in Expanded PhD-Led Program

High school students gain PhD-led mentorship, publish original research, and build real-world AI models through ...
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 ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
IEEE

Quantum-Eyes: Scalable Quantum Convolutional Neural Networks for Low-Overhead Object Detection [Research Frontier]

Abstract: Quantum neural networks (QNNs) are gaining attention as a promising foundation for next-generation machine learning. However, the practical deployment of QNNs, particularly in vision tasks, ...
The Next Platform

Dassault And Nvidia Bring Industrial World Models To Physical AI

During his more than two decades with Nvidia, Rev Lebaredian has had a ringside seat to the show that has been the evolution of modern AI, from the ...
Gameranx

Nvidia Has Launched DLSS 4.5 – Promising Industry Leading 4K 240+ FPS Gameplay

If Nvidia delivers on their promises, they have raised the bar once again. Cutting through the jargon, Nvidia says DLSS 4.5 can run games at a full 4K resolution, with framerates going past 250 FPS, ...
Science Daily

AI may not need massive training data after all

New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers redesigned AI systems to better resemble biological brains, some models produced ...
EurekAlert!

SEOULTECH researchers develop VFF-Net, a revolutionary alternative to backpropagation that transforms AI training

VFF-Net introduces three new methodologies: label-wise noise labelling (LWNL), cosine similarity-based contrastive loss (CSCL), and layer grouping (LG), addressing the challenges of applying a forward ...
University College London (UCL)

CASA Seminar Series 2025-26

This academic seminar series explores a broad range of topics such as data science, urban planning and urban networks and ...
Frontiers

Convolutional neural networks decode finger movements in motor sequence learning from MEG data

1 Institute of Cognitive Neuroscience, National Research University Higher School of Economics, Moscow, Russia 2 Department of Learning, Data Analytics and Technology, Section Cognition, Data and ...