Science

Researchers have developed an automated system that uses artificial intelligence to dissect live blockchain attacks and recreate the exploits that made them possible.

A new truncation method simplifies simulations of quantum chromodynamics, paving the way for more efficient calculations on emerging quantum hardware.

New research reveals that carefully controlling a quantum system’s ‘rewind’ can produce topological defects with scaling properties opposite to those predicted by traditional theories of quantum quenches.

Researchers have broadened the concept of spherical codes-arrangements of points on a sphere-to encompass noncommutative settings using tools from operator algebras.

New research uncovers predictable patterns in cryptocurrency trading dynamics that can be leveraged for profitable strategies, even during periods of extreme volatility.

New research reveals that current AI-powered vulnerability detectors are surprisingly susceptible to evasion through subtle code transformations that preserve functionality.

This research introduces a fault-tolerant adaptation of Safra’s algorithm, guaranteeing reliable detection of termination even when nodes fail.

Researchers have developed a faster and more efficient method for calculating the half-lives of alpha-decaying nuclei, offering a valuable tool for nuclear physics and astrophysics.

Researchers have developed a unified approach to understanding and quantifying noise in quantum communication channels, paving the way for more robust and secure data transmission.

Researchers have discovered a novel power side-channel attack that exploits operating system behavior to compromise the security of cryptographic keys.