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

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

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Harshith Kumar Pedarla explores using GANs to simulate network attacks. Synthetic data augmentation improves detection scores ...

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Medical device makers have been rushing to add AI to their products. While proponents say the new technology will ...

Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...

Large language models struggle to solve research-level math questions. It takes a human to assess just how poorly they ...

A new study finds that humans and AI spot different kinds of deepfakes — hinting at the need to team up to fight them.

Interpretation is the discipline through which molecular datasets reveal their significance. As the life sciences enter a new era defined by data richness and technological capacity, interpretive ...

A team of EPFL researchers has taken a major step towards resolving the problem of drift in generative video, which is what ...