Science

This review explores techniques for building robust analog computing systems by leveraging error-correcting codes that maintain signal integrity with remarkably low overhead.

Researchers have developed a novel method for dramatically reducing the size of large language models without sacrificing accuracy, paving the way for faster and more accessible AI.

A new hardware-software co-design eliminates the need for a runtime software trusted computing base, offering a fundamentally more secure approach to embedded system protection.

A comprehensive survey reveals the evolving security landscape of transaction processing and proposes a new framework to address the demands of modern, complex applications.

Researchers have developed a novel attestation relay system that significantly reduces bandwidth overhead, enabling more efficient and scalable post-quantum cryptographic networks.

Researchers are leveraging the power of artificial intelligence to automatically identify software components that handle sensitive cryptographic operations.

A new framework, ZK-ACE, leverages zero-knowledge proofs to dramatically reduce on-chain data and enhance the scalability of blockchain systems preparing for the post-quantum era.

A new framework, pqRPKI, addresses the looming threat of quantum computers by fortifying the Resource Public Key Infrastructure against cryptographic attacks.

A new framework leverages the power of federated learning and post-quantum cryptography to fortify threat intelligence sharing against future quantum attacks.

New research reveals how shared noise can force seemingly random systems on a sphere to converge on stable, opposing states.