Mirage News

HKUST Unveils AI GrainBot for Microstructure Analysis

A research team from The Hong Kong University of Science and Technology (HKUST) has developed GrainBot, an AI-enabled toolkit that automatically ...
Devdiscourse

AI accelerates hunt for new antibiotics amid global AMR crisis

A new review titled Artificial Intelligence and the Discovery of Antibiotics: Reinventing with Opportunities, Challenges, and ...
Devdiscourse

From disease detection to biomass forecasting: AI improves aquaculture risk strategy

Read more about From disease detection to biomass forecasting: AI improves aquaculture risk strategy on Devdiscourse ...
Scientific Research Publishing

Accuracy and Response Speed of Eye Center Annotation Using Eye Movement Models: Validating the Effectiveness of Eyesight Detection ()

Optokinetic Nystagmus (OKN) is a natural reflexive eye movement in oculomotor studies, reflecting the health status of the visual system. Through accurate eye center annotation, physicians can observe ...

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

Optimization of Algorithm for Network Traffic Anomaly Detection Using Convolutional Neural Networks (CNN)

Abstract: With the rapid development of network technology, network security issues have become particularly prominent, especially in the context of big data and the Internet plus era, traditional ...
Network World

Google’s Quantum chip claims 13,000x speed advantage over supercomputers

The Willow processor runs the first verifiable algorithm with real-world applications, marking a shift from theory to practical quantum computing. Google Quantum AI has demonstrated what it describes ...
IEEE

Fine Tuning Hyperparameters of Deep Learning Models Using Metaheuristic Accelerated Particle Swarm Optimization Algorithm

Abstract: In recent years, Convolutional Neural Networks (CNNs) have emerged as powerful tools for solving complex real-world problems, particularly in the domain of image processing. The success of ...