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

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...

Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.

Simulation results show enhanced logical error suppression and real-time decoding potential ...

An intensive programme on reinforcement learning, brought together 60 international participants including students, ...

Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...

Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...

Social media algorithms driven by AI shape far more than what appears on our screens, including how we think, feel, and ...

Medical researchers at Mass General Brigham say the self-supervised foundational model can identify inherent features from ...

Transforming the chemicals industry, AI application models enhance formulation development, enabling rapid, accurate responses to evolving market demands.

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