This AI Learned the Laws of Physics and Could Accelerate Quantum Computing Breakthroughs

Researchers in Sweden have developed a machine-learning approach that embeds the laws of physics directly into neural ...
Frontiers

Numerical foundations for scalable statistical and machine learning methods

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...
NatureOpinion

Mathematicians are developing rules for AI use — other fields should follow

The mathematics community is right to call for transparency, integrity and fairness to be protected when AI tools are used.

Neutron star merger simulations gain new precision with AI-driven r-process heating

Using a novel simulation model based on machine learning, an international research team at GSI/FAIR has succeeded in gaining a deeper understanding of element formation in stellar events such as ...
IEEE

A Machine-Learning-Assisted Antenna Array Isolation Optimization Method Using Intelligent Surfaces for Bistatic In-Band Full-Duplex Communication Systems

Abstract: In this article, a machine-learning-assisted antenna array isolation optimization method for bistatic in-band full-duplex (IBFD) communication systems based on a novel intelligent surface ...
Boise State University

Kopera wins fellowship to advance ocean modeling with artificial intelligence

Michal Kopera, associate professor of mathematics at Boise State University, has been awarded a National Science Foundation ...
IEEE

Intrusion Detection in IoT and IIoT: Comparing Lightweight Machine Learning Techniques Using TON_IoT, WUSTL-IIOT-2021, and EdgeIIoTset Datasets

Abstract: The security of Internet of Things (IoT) and Industrial Internet of Things (IIoT) systems has been significantly enhanced through the integration of effective intrusion detection systems ...