Physical artificial intelligence (PAI) is the application of AI and machine learning (ML) algorithms to enable autonomous ...

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

An intelligent tax administration framework integrates data standardization, automated workflows, and dynamic risk modeling to enhance fraud detection in digital environments. By combining machine ...

How are AI Agents transforming DeFi? From autonomous risk management to liquidity optimization and smart contract security, ...

In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a quantum AI simulator that adopts a hybrid CPU-FPGA method. This system performs ...

Explore how intelligent software testing strengthens safety, boosts performance, and supports innovation from mobile apps to ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

More than six years after implementation, supervisory practice has begun to vary between member states. ESMA’s intervention suggests concern that uneven ...

The March 2026 issue of NEJM Catalyst Innovations in Care Delivery is a special theme issue on the hard work of implementing artificial intelligence in real-world ...