Science

New research unveils the quantum mechanical basis for an unusual phenomenon in multi-Weyl semimetals, where magnetic fields decrease electrical resistance.

A new approach to quantizing large language models focuses on preserving magnitude information within weight matrices, leading to improved performance at extremely low bitrates.

Researchers are developing techniques to mathematically guarantee the safety and reliability of AI-generated content, addressing growing concerns about bias and malicious outputs.

New simulations reveal how energetic particle irradiation damages YBCO materials, paving the way for more durable superconducting technologies.

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.