Science

New research leverages the AdS/CFT correspondence to calculate correlation functions in defect conformal field theories, offering a powerful tool for understanding strongly coupled systems.

Researchers have developed a comprehensive framework to rigorously evaluate the effectiveness of firmware fuzzers, tackling critical challenges in embedded system security.

A new study reveals how inaccuracies in speech-to-text transcription can significantly hinder understanding of spoken code, especially for learners and in multilingual settings.

New research establishes a rigorous mathematical link between microscopic fluctuations and the macroscopic rates of transitions between metastable states, offering insights into phenomena ranging from quantum chromodynamics to condensed matter physics.

New research reveals a successful wireless Man-in-the-Middle attack against CCS EV charging stations, highlighting critical vulnerabilities in current security protocols.

A new algorithm overcomes reconstruction artifacts in digital holographic microscopy, enabling accurate quantitative phase imaging of large tissue samples.

A new review reveals that determining if a specific record was used to train a model from tabular data is surprisingly difficult, despite growing concerns about data privacy.

A new system, Lattice, improves sequential prediction by intelligently blending learned patterns with established baselines, and quantifying its own uncertainty.

New research explores how manipulating the band structure of IV-VI semiconductor quantum wells can unlock the Quantum Anomalous Hall Effect without the need for external magnetic fields.

A new foundation model, THOR, promises to unlock greater insights from diverse Earth observation data, offering improved efficiency and adaptability for climate and societal applications.