The privacy protection issue of multi-domain traffic engineering has always been a hot topic. Consider that domains from ...

Federated Learning (FL) allows for privacy-preserving model training by enabling clients to upload model gradients without exposing their personal data. However, the decentralized nature of FL ...

Federated Learning (FL) allows for privacy-preserving model training by enabling clients to upload model gradients without exposing their personal ...

Synthetic data allows regulators to test the resilience of critical infrastructure defenders under extreme hypothetical scenarios.

Absent a comprehensive federal AI framework, agencies should be guided by four governance priorities. While the federal ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

“Artificial intelligence will take all our jobs and that’s not necessarily a bad thing. Probably none of us will have a job,” ...

The traditional approach to artificial intelligence development relies on discrete training cycles. Engineers feed models vast datasets, let them learn, then freeze the parameters and deploy the ...

Metabolic dysfunction-associated steatotic liver disease (MASLD) is a highly prevalent chronic liver condition globally, with its management spanning ...

Discover how to secure AI orchestration workflows using post-quantum cryptography and AI-driven anomaly detection for Model Context Protocol (MCP) environments.

Agents using facial recognition on minors who are U.S. citizens without consent, individualized suspicion, or meaningful ...

Quanterix Corporation (Nasdaq: QTRX), a company transforming healthcare by accelerating biomarker breakthroughs from discovery to diagnostics, today announced it has submitted a 510(k) premarket ...