Science

A comprehensive third-party analysis reveals practical key-recovery attacks against the Gleeok-128 pseudorandom function, challenging its security assumptions.

Researchers have developed a novel framework for constructing efficient error-correcting codes inspired by the principles of distributed graph coloring.

Researchers have developed a novel adaptive Linear Quadratic Regulator (LQR) algorithm that achieves guaranteed stability and optimal performance without relying on pre-defined stabilizing controllers or complex exploration schemes.

Researchers are exploring how dynamically adjustable wireless surfaces can bolster secure, low-power communication by cleverly manipulating signal paths.

A new framework enhances cross-domain information retrieval by focusing on semantic consistency and learned data representations.

New research reveals how attackers can cascade vulnerabilities through interconnected AI agents, and introduces a defense mechanism to prevent these systemic failures.

Researchers have developed a new framework that allows AI agents to not only answer complex questions using knowledge graphs, but also improve their reasoning abilities over time through self-directed learning.

A new study identifies and categorizes the pervasive configuration errors plaguing Kubernetes deployments, offering practical tools for improved reliability and security.

A new framework intelligently repurposes existing processor test cases to significantly improve the efficiency of hardware vulnerability detection.

Researchers demonstrate that hollow-core fiber can maintain signal integrity for long-distance quantum key distribution, offering a pathway to more secure and robust networks.