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

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

Simulation results show enhanced logical error suppression and real-time decoding potential Ra’anana, Israel, Feb. 05, 2026 ...

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

Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized ...

The idea that quantum computing could transform medical artificial intelligence (AI) has gained momentum in recent years, driven by advances in cloud-accessible quantum platforms and hybrid computing ...

Xanadu’s quantum algorithm is particularly well-suited for reactions in organic and photo-organic systems, which is critical for progressing many important technologies. This research represents a ...

Arijit Singh’s decision to step away from playback singing has sparked widespread conversation across the film and music ...

Overview  Quantum computing skills now influence hiring decisions across technology, finance, research, and national security sectors.Employers prefer cand ...

Security is one of the areas where quantum technology could have the most immediate impact. Quantum computers are inching ...

From Deep Blue to modern AI, how chess exposed the shift from brute-force machines to learning systems, and why it matters AI ...

What if the smallest molecule of life became the ultimate medium for digital storage? Faced with the avalanche of data flooding the planet, researchers are exploring the physical structure of ...