Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

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

Teacher readiness and AI literacy also emerge as critical factors. While educators expressed openness to AI-supported personalization, effective use depended on understanding both the capabilities and ...

Many small businesses use AI, but have you ever wondered how they work and where AI models get their data from?

According to A Survey of AI-Enabled Predictive Maintenance for Railway Infrastructure: Models, Data Sources, and Research Challenges, published in Sensors, AI-based predictive maintenance systems ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

You don’t have to go it alone when searching for and maintaining the perfect batch. Through machine learning and AI-based batch control, the arduous search becomes easier to realize.

A new artificial intelligence tool can identify whether a patient is ready for colonoscopy by simply analyzing stool images that they take on their smartphones.