As governments push for stronger data rights like the “right to be forgotten,” evidence suggests AI may not fully comply, raising new regulatory challenges.

Barcelona researchers have created an algorithm for studying protein aggregation and mutating proteins from AlphaFold.

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

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

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

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

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

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

The project sits at the intersection of privacy-preserving machine learning, distributed systems, and trustworthy AI, with implications for regulatory compliance and real-world deployment of federated ...

Abstract: Federated learning enables participants to collaboratively train a global model through distributed training without sharing raw data. However, this distributed training is vulnerable to ...

The study, titled “The Decentralized AI Ecosystem in Healthcare: A Systematic Review of Technologies, Governance, and ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...