Kolmogorov-Arnold networks bridge AI and scientific discovery by increasing interpretability

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...

ChatGPT Will Never Beat Indiana Jones

When I nudged the chatbots to discover this discrepancy themselves, ChatGPT and Claude found it but failed to observe that it ...
Interesting Engineering

AlphaFold and the architecture that cracked protein structure

AlphaFold didn't accelerate biology by running faster experiments. It changed the engineering assumptions behind protein ...
Nanowerk

Twisted graphene unlocks thermal sensing with built-in logic

Twisted graphene heterostructures detect temperature with 99% accuracy, reduce thermal image errors by 46%, and execute logic ...
EurekAlert!

Metallic glass discovery using AI-guided graph learning from Wikipedia data

A research team from the Songshan Lake Materials Laboratory has developed an AI-guided "Recommendation System" to discover ...
IEEE

RNGCNs: Robust Norm Graph Convolutional Networks in the Presence of Missing Data and Large Noises

Abstract: Graph Convolutional Networks (GCNs) have been widely studied for attribute graph data learning. In many applications, graph node attributes/features may contain various kinds of noises, such ...
plataformamedia

WiMi Studies Quantum Dilated Convolutional Neural Network Architecture

BEIJING, Oct. 13, 2025 /PRNewswire/ — WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that ...
Frontiers

A multi-graph convolutional network method for Alzheimer’s disease diagnosis based on multi-frequency EEG data with dual-mode connectivity

Objective: Alzheimer’s disease (AD) is mainly identified by cognitive function deterioration. Diagnosing AD at early stages poses significant challenges for both researchers and healthcare ...
IEEE

Graph Kolmogorov–Arnold Convolutional Network for Hyperspectral Image Classification

Abstract: The graph neural network (GNN) exhibits noteworthy performance in hyperspectral image classification (HSIC) due to its efficient message-passing structure, which employs the multilayer ...
Nasdaq

MicroAlgo Inc. Develops Quantum Convolutional Neural Network (QCNN) Architecture to Enhance the Performance of Traditional Computer Vision Tasks Using Quantum Mechanics Principles

SHENZHEN, China, May 12, 2025 /PRNewswire/ -- MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), they announced today their research on quantum visual computing, exploring the integration ...