Science

A new review details a holistic, proactive security framework for self-driving cars, moving beyond reactive defenses.

New calculations predict the electromagnetic properties of these unusual particles, offering clues to their internal structure.

New research reveals that the performance gains from prompting large language models to ‘think step-by-step’ aren’t always reliable, and understanding why is key to building more robust AI coding tools.

A new approach utilizes nested lattice codes built on multiquadratic fields to enhance the reliability and secrecy of communications in challenging wireless environments.

A new evaluation of the Crypto-Agility Maturity Model reveals both its potential and the challenges of preparing IT systems for future cryptographic threats.

A new framework tackles the challenge of deploying large language models on resource-constrained hardware through intelligent quantization techniques.

A new analysis reveals that strategically altering code during runtime can create a moving target, dramatically increasing the difficulty of successful software tampering.

Researchers demonstrate a functional system for performing privacy-preserving inference with large language models using advanced encryption techniques.

New research clarifies the trade-offs between combining multiple statistical problems and maintaining reliable, replicable results.

Researchers have developed a novel technique that streamlines the process of deploying large language models with Mixture-of-Experts architectures in low-precision formats.