Science

New research demonstrates a path to reliable, large-scale decentralized computing even when malicious actors control the majority of nodes.

Researchers have developed a graph-based method for verifying the accuracy of Single Transferable Vote elections, bolstering confidence in fair and secure outcomes.

Researchers have developed a method to significantly reduce the computational demands of accurate electronic structure calculations without sacrificing precision.

A new analysis reveals that smart contracts generated by artificial intelligence models often harbor significant security flaws, demanding greater scrutiny before deployment.

Researchers are exploring a unique method of concealing data within numerical sequences, leveraging the mathematical properties of semigroups.

A new FPGA-based co-processor efficiently unifies multiple cryptographic algorithms to deliver significant performance and energy gains for resource-constrained devices.

A new approach to authentication replaces traditional certificate-based systems with a streamlined, identity-based encryption scheme designed for the demands of modern 5G networks and cloud infrastructure.

Researchers have developed ZOR filters, a novel approach to representing sets of data that offers a compelling trade-off between speed and memory usage.

A new method dramatically improves the performance of large language models when using extremely low-precision weights, opening the door to more accessible and efficient AI.

A new method previews future data to significantly improve the compression of large language models without sacrificing accuracy.