The Department of War released its first dedicated post-quantum cryptography strategy on Wednesday, June 24 — a 25-page mandate directing every military system, from battlefield communications ...

Protect your Model Context Protocol deployments from quantum-era data harvesting. Learn why TLS 1.3 is insufficient and how to implement quantum-resistant security.

Secure your AI agents against future quantum threats. Learn how to implement quantum-resistant cryptography within Model Context Protocol (MCP) environments.

Tether successfully integrated Google’s TurboQuant into the inference engine of its local AI framework, QVAC. It is the ...

Version 5.0 Modernizes DNN Engine, Adds LLM/VLM Support, and Enhances Core, Hardware Acceleration, and 3D Stack.

One in three people believe they don't have to seek the news from traditional outlets like newspapers and television. Instead, they think the "news will find me" (NFM), relying on algorithms and ...

Abstract: Influence Maximization (IM) is to select a subset of nodes from a social network such that the number of nodes influenced by this subset will be maximized. Due to the growing size of social ...

turboquant-py implements the TurboQuant and QJL vector quantization algorithms from Google Research (ICLR 2026 / AISTATS 2026). It compresses high-dimensional floating-point vectors to 1-4 bits per ...

When Edsger W. Dijkstra published his algorithm in 1959, computer networks were barely a thing. The algorithm in question found the shortest path between any two nodes on a graph, with a variant ...

Designed to accelerate advances in medicine and other fields, the tech giant’s quantum algorithm runs 13,000 times as fast as software written for a traditional supercomputer. A quantum computer at ...