A new research paper reframes the simulation hypothesis, asking whether reality could be simulated and what science can test.

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

Discover how homomorphic encryption (HE) enhances privacy-preserving model context sharing in AI, ensuring secure data handling and compliance for MCP deployments.

NIST’s post-quantum public key encryption algorithm ML-KEM (a.k.a. CRYSTALS-Kyber) reduces to the hardness of solving mathematical problems in lattices. Similarly the security of two of NIST’s ...

Vitalik Buterin proposes using zero-knowledge proofs to make social media algorithms verifiable without exposing code or user ...

Instagram is introducing a new tool that lets you see and control your algorithm, starting with Reels, the company announced on Wednesday. The new tool, called “Your Algorithm,” lets you view the ...

Ever wondered how social media platforms decide how to fill our feeds? They use algorithms, of course, but how do these algorithms work? A series of corporate leaks over the past few years provides a ...

How FHE has evolved from a theoretical concept to a practical technology that’s ready for real-world applications. The unique benefits and challenges of implementing FHE, including why specialized ...

A new technical paper titled “Leveraging ASIC AI Chips for Homomorphic Encryption” was published by researchers at Georgia Tech, MIT, Google and Cornell University. “Cloud-based services are making ...

Abstract: Recently, distributed privacy-preserving algorithms have drawn much attention in solving the economic dispatch and demand response (EDDR) problem of smart grids. However, existing ...