The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

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

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

The small and complicated features of TSVs give rise to different defect types. Defects can form during any of the TSV ...

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

Quiq reports on the role of automation in customer service, highlighting tools like AI for questions, ticket classification, ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

These inventions weren’t built in laboratories or classrooms. They started with simple observations, small frustrations, and curiosity. Using basic materials, these kids created devices that solve ...

Introduction: The rapid and accurate identification of natural and non-natural seismic events is crucial for compiling comprehensive earthquake catalogs and assessing regional seismic risk. Methods: ...

Abstract: Large amounts of digital data are produced daily through society’s use of government and private companies. Digital transformation contributes to the increasing amount of structured and ...

Early detection of dementia is a key requirement for effective patient management. Therefore, classification of dementia is pertinent and requires a highly accurate methodology. Deep learning (DL) ...