Science

A new framework dramatically accelerates the generation of SPHINCS+ digital signatures by harnessing the parallel processing capabilities of modern GPUs.

A new review explores the connections between superintegrability, hidden algebraic symmetries, and the exact solvability of two-dimensional quantum mechanical systems.

A new deep learning framework leverages the power of multiple expert networks to accurately forecast how long lithium-ion batteries will last.

A new system leverages distributed ledger technology to modernize and fortify country entry and exit data management.

Researchers have developed a novel technique to protect quantized deep learning models from being reverse-engineered and replicated by malicious actors.

Researchers have developed a new architecture that efficiently and reliably verifies the safety of ReLU neural networks using a combination of incremental analysis and learned constraints.

Researchers have developed a theoretical model revealing a continuous transition between magnetic order and a strange metallic state in heavy fermion materials.

A new computational approach combines machine learning with quantum mechanics to accurately forecast crystal structures under realistic thermal conditions.

A new communication library minimizes performance drops during failures in the complex networks powering today’s largest machine learning workloads.

A new digital approach to Over-the-Air Computation leverages two’s complement representation to enable error-free results and boost edge computing performance.