Explore post-quantum cryptography in federated learning for Model Context Protocol training. Learn about quantum vulnerabilities, security measures, and real-world applications.

The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.

Learn how recommendation algorithms, streaming recommendations, and social media algorithms use content recommendation ...

Background The growing population of patients with adult congenital heart disease (ACHD) present complex lifelong care needs ...

Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...

India has data at scale, but it is not integrated. A unified data stack could be the only way out to achieve successfully the ...

That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and ...

Cooperative autonomous driving represents the frontier of intelligent transportation systems, where vehicles, infrastructure, and other road users share ...

Violence sometimes hides in plain sight, especially in a busy emergency room. Between the chaos of tired and overworked staff ...

Any time you use a device to communicate information—an email, a text message, any data transfer—the information in that ...

Explore privacy-preserving biometric verification techniques using handwritten inputs. Learn about securing sensitive data with homomorphic encryption and zero-knowledge proofs for authentication.