Announcing a new publication for Acta Materia Medica journal. Traditional Chinese medicine has shown therapeutic potential in ...

Google Research published a paper that studies how to make generative AI systems produce answers that do more than sound ...

Abstract: Gene regulatory network (GRN) inference is essential for understanding gene interactions that control biological functions and disease progression. Its goal is to uncover regulatory ...

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

AI-driven recruitment is expanding rapidly, with 43% of HR teams now using advanced matching algorithms, even as governments advance regulatory frameworks and workers voice resistance to AI mandates.

In modern medical systems, drug therapy remains one of the most essential approaches for disease prevention and treatment. In particular, combination ...

Understand how Market Manipulation Detection in Web3 utilizes AI analytics to uncover wash trading, MEV patterns, and coordinated trading behavior. This guide analyzes the shift from reactive ...

Recent advances in deep learning have enabled effective interpretation of neural activity patterns from electroencephalogram signals; however, challenges persist in invasive brain signals for ...

The Heisenberg uncertainty principle puts a limit on how precisely we can measure certain properties of quantum objects. But researchers may have found a way to bypass this limitation using a quantum ...

With the growing emphasis on sustainable development, the demand for environmentally friendly solvents in green chemical ...