Government agencies face increasingly sophisticated security challenges in a world driven by digital transformation.

With peak wildfire season underway in California, PG & E’s Chief Meteorologist Scott Stenfel held a virtual Wildfire Season ...

Machine learning helped identify new superconductors and a process that could speed the discovery of thousands more ...

Initially focused on analyzing full-motion video collected by military drones, Project Maven applied machine-learning algorithms to identify objects, recognize ...

As workers remain concerned about AI replacing jobs, employers are simultaneously creating remote jobs for workers who know ...

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

Abstract: This article presents an analysis of the application of machine learning algorithms to predict energy demand based on temperature and humidity data. Extensive research has been conducted on ...

Artificial intelligence technology allows computers and machines to simulate human intelligence and problem-solving ...

The field of neuroimaging has undergone profound transformation in recent years, driven primarily by rapid advances in machine learning (ML), and especially deep learning (DL), techniques. These ...

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation. The deployment of ML models on embedded edge devices, characterized by ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer science ...