The proposed changes aim to ease the burden of litigants who often have to wait for years before their disputes are settled ...

The authors point out that quantum computers are still plagued by high gate error rates, low qubit counts, and extremely slow ...

This AI-driven intrusion detection system integrates blockchain and federated learning, ensuring robust security for 6G networks with high detection accuracy.

Project Suncatcher envisions networks of AI satellites powered by sunlight, pushing machine learning beyond Earth. Imagine ...

Kirk Sigmon and Hengyi Jiang of Banner & Witcoff Ltd. examine recent policy shifts in both China and the U.S. that signal a ...

A new ICE proposal outlines a 24/7 transport operation run by armed contractors—turning Texas into the logistical backbone of ...

In order to increase the dependability of quantum calculations, study explores the use of Shor’s algorithm in a noisy quantum ...

Federated learning is a machine learning technique that allows several individuals, dubbed "clients," to collaboratively train a model, without sharing raw training data with each other. This "shared ...

The Perspective by Tiwary et al. (8) offers a comprehensive overview of generative AI methods in computational chemistry. Approaches that generate new outputs (e.g., inferring phase transitions) by ...

We trained and tested ML systems that predict a deterioration in nine patient-reported symptoms within 30 days after treatments for aerodigestive cancers, using internal electronic health record (EHR) ...

Amid high expectations for quantum technology, a new paper in Science reports a proven quantum advantage. In an experiment, entangled light has allowed researchers to learn a system's noise with very ...