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

The hydrologic system is subjected unprecedented stresses and increasing demands driven by climate variabilities, landuse changes, groundwater ...

The patent filing covers a machine learning-based demand platform optimisation system designed to improve ad delivery ...

Coastal and nearshore zones face growing pressure from storms, flooding, erosion, and sea-level rise, which threaten civil infrastructure such as ports, ...

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

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

Managing a medical supply chain in low- and middle-income countries can mean navigating a landscape prone to extreme and ...

Abstract: Adaptive protection is defined as a real-time system that can modify the protective actions according to the changes in the system condition. An adaptive protection system (APS) is ...

Alex Chen's adaptive execution framework, using reinforcement learning, cuts trading costs and improves market visibility.

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...