Solving The Data Bottleneck For Physical AI

Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...
Frontiers

Data-Driven Approaches for Sustainable Geoscience: Machine Learning in Mineral Resources, Water Management, and Environmental Resilience

Machine learning has rapidly become integral to the advancement of geoscience, a field inundated with complex and multivariate data from myriad sources such ...
IEEE

Res-UNet-GRU: A Data-Driven Near-Field Sensing Approach in ISAC-Based Low-Altitude Networks

Abstract: The rise of the low-altitude network (LAN) has driven the demand for situational awareness in dynamic environments, where integrated sensing and communication (ISAC) serves as a key enabler.
IEEE

A Data-Driven Approach to Mitigate Evolving Volumetric Attacks in Programmable Networks

Abstract: In-network machine learning (ML) offers a cutting-edge approach for promptly detecting malicious traffic. Existing methods often rely on one-size-fits-all ML models that fail to adapt to ...
Healthcare IT News

How a 'whole-person, whole-population' approach to data can boost patient outcomes

Dr. Ryan Bosch is a U.S. Air Force veteran and practicing physician who spent six years as the chief medical information officer at Inova Health, managing the health system's Epic implementation ...
acm.org

Algorithmic Autonomy in Data-Driven AI

AI-based platforms are transforming how we navigate digital ecosystems. Using artificial intelligence, these platforms analyze vast datasets, enabling personalized content recommendations, enhanced ...
Scientific Research Publishing

Artificial Intelligence-Driven Approaches to Disease Surveillance and Outbreak Prediction ()

1 Obstetrics and Gynaecology, Hamad Medical Corporation, Doha, Qatar. 2 Medicine and Surgery, Ahfad University for Women, Khartoum, Sudan. 3 Medical Relations and Treatment Abroad, Ministry of Public ...