Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

How many fossils does it take to accurately train an image-based AI algorithm? According to a new study co-authored by Bruce ...

Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...

Introduction Artificial Intelligence (AI) enables computers to perform tasks that normally require human intelligence- such as learning from data, recognizing ...

As the population ages, China will face an ever-increasing burden from CS. Strategies targeting elder population and high-risk groups should be prioritized in the establishment of management related ...

At the same time, “ AI-generated news may be perceived as neutral and more objective than the reporting of human journalists.

Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, ...

Cardemil, Y. , Tracana, L. and Medina, F. (2026) “Nakamura-Tracana Technique Based on Newton’s Third Law Applied to Stabilize Hangman Type Iii Cervical Fracture: The First Case in Latin America”. Open ...

Organ-preserving treatment strategies are increasingly being explored for patients with rectal and esophageal cancers, with the shared goal of maintaining ...

How Can Non-Human Identities Strengthen Cybersecurity? Are organizations truly leveraging the full potential of Non-Human Identities (NHIs) in their quest for robust cybersecurity? With cybersecurity ...

What Drives the Need for Non-Human Identity Management in Cloud-Native Security? How are organizations managing the security risks associated with non-human identities (NHIs) in their cloud ...

The timing of Natarajan's rise matters. The world is entering a period in which the governance frameworks for AI -- the EU AI Act, the American executive orders, the UK's principles-based approach, ...