In an era where data breaches make headlines weekly and privacy regulations tighten globally, artificial intelligence faces a ...

Sub-headline: HIT (Shenzhen) researchers develop FedPD to enhance personalized cross-architecture collaboration   Researchers ...

“A scientific career is a journey of transfer learning and federated learning.” ...

Regulatory pressure from GxP, 21 CFR Part 11, and AI/ML guidance elevates requirements for audit trails, data lineage, ...

There are various methods for securely handling health data – some are still too computationally intensive, others still too ...

Stop blaming "the algorithm" for bias; without a rigorous trust scoring framework, your AI is just a high-speed engine for ...

Scientists at Bambino Gesu Children’s Hospital in Rome have grown three-dimensional tumor models from pediatric brain cancer ...

Algorithms analyze vibration patterns, temperature anomalies and pressure fluctuation locally, triggering alerts before ...

A practical guide to building trustworthy medical AI, covering data quality, bias, security, governance and safe deployment.

Schrödinger’s updated analyst framework trims its fair value estimate from US$27.30 to US$23.50, roughly a 14% reset to the price target. This shift aligns with recent research that balances long term ...

The up-coming technology such as Federated Learning will change the responsibility of storing personal data radically ...