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

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 ...

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 ...

AI & Society, states that algorithmic systems often construct competing but equally valid “model-worlds,” offering empirical support for a philosophical claim that evidence alone cannot uniquely ...

Researchers at the University of California, Santa Cruz have trained lab-grown brain organoids to solve a goal-directed task, ...

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

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 ...

A team of physicists used ChatGPT to help crack a long-standing problem in quantum field theory, producing a new closed-form ...