We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.

An emerging approach in AI innovation is hybrid AI, which combines the scalability of machine learning (ML) with the ...

Prevailing AI architectures are not moving the needle. We need new ideas. Google Research proposes NL (nested learning). Here ...

Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...

In addition to hurricanes, AI is being trained to predict and manage such natural disasters as earthquakes, floods and forest ...

AI surveillance aids in the swift rescue of an abandoned infant in Bengaluru, showcasing effective emergency response technology.

IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...

Historically, people have used stopwatches, cameras or trained eyes to assess walking and its deficits. However, recent technological advances such as motion capture, wearable sensors and data science ...

New tech uses heat-sensing cameras & AI to find bat deaths at wind turbines, improving upon slow & often incomplete ground searches. The system rapidly analyzes footage, pinpointing where to look for ...

The reporter didn’t expect that his attempt to avoid all interactions with AI and machine learning would affect nearly every ...

These questions come from my Udemy training and the certificationexams.pro website, resources that have helped many students pass the DP-100 certification. These are not DP-100 exam dumps or ...