Science

A new approach dramatically simplifies the control of Rydberg atom arrays, paving the way for more efficient quantum algorithms.

As large language models collaborate in multi-agent systems, the risk of private information leaking increases, and new research reveals how system architecture dramatically impacts that risk.

A new virtualization layer enables fine-grained resource management for parallel libraries, allowing them to coexist and collaborate within a single process.

A new framework enhances conformal prediction, offering robust uncertainty quantification even when training data is limited.

A new study analyzing real-world user interactions with ChatGPT reveals that automatically generated code frequently contains security vulnerabilities.

Researchers have developed a novel file format that enhances the security and privacy of large language models during distribution and use.

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.