Science

A new framework combines the reasoning power of large language models with structured knowledge to dramatically improve the accuracy and transparency of prescription verification.

A new method dramatically speeds up the analysis of large metasurfaces by efficiently solving the complex electromagnetic interactions within them.

This research presents a viable architecture for delivering quantum-enhanced entropy to resource-constrained embedded systems, bolstering security in the age of quantum computing.

A new analysis breaks down the latency impact of integrating post-quantum cryptography into the TLS 1.3 handshake process, finding manageable overhead for modern applications.

A new signature scheme, SQInstructor, expands the SQSign framework and leverages advancements in isogeny graph theory to enhance the security and efficiency of post-quantum cryptography.

A new approach leverages the power of diffusion models and iterative refinement to deliver more reliable secret message embedding within images, even after compression.

As artificial intelligence takes on a larger role in cybersecurity, a new framework is needed to address the unique risks posed by autonomous, multi-agent systems.

This review explores how algebraic modeling, specifically leveraging Plücker coordinates and invariant theory, advances our understanding of linear code equivalence and its implications for cryptographic security.

New calculations achieve next-to-next-to-next-to-next-to-leading order (N4LO) accuracy in determining the hyperfine splitting of heavy quarkonium states.

A new algorithm tackles the challenge of training teams of AI agents to cooperate and compete reliably, even when facing unpredictable opponents.