Spin density symmetry breaking in single-atom catalysts can significantly enhance the performance of hydrogen evolution ...

Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.

Artificial intelligence (AI) and machine learning (ML) hold significant promise in advancing the field of toxicology by ...

A research team led by Prof. Zhonghua Li from Harbin Institute of Technology has discovered how spin density symmetry breaking in single-atom ...

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

Artificial intelligence has become an integral part of modern cybersecurity operations. As digital threats grow in scale and ...

Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

Read more about AI-driven learning analytics struggle to deliver measurable gains in higher education on Devdiscourse ...

Another machine unlearning method recently was developed specifically for AI-generated voices. Jong Hwan Ko, an associate ...

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

Both Dr. Utpal Chakraborty and Souvik Chakraborty stressed on India actively developing AI, with a focus on domain-specific ...