The healthcare fraud detection field is constantly evolving and faces significant challenges, particularly when addressing imbalanced data issues. Previous studies mainly focused on traditional ...

In a study published in the journal Information Systems Research, Texas Tech University's Shuo Yu and his collaborators ...

Researchers have developed an artificial intelligence (AI) system that enables a four-legged robot to adapt its gait to ...

Chicago Booth is excited to announce the addition of a new MBA concentration in Applied Artificial Intelligence. AI ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Designed to support the entire machine learning lifecycle -- from data ingestion and model training to deployment and monitoring -- Azure ML is empowering developers to integrate predictive ...

Ready to decode generative AI vs machine learning? Discover their differences and choose the best for your needs.

German startup Aleph Alpha challenges AI giants with open-source, EU-compliant language models, potentially reshaping the future of ethical and transparent AI development.

Using wearable sensors and advanced machine learning algorithms, researchers offer a practical and cost-effective solution for capturing detailed movement data, essential for balance analysis.

Balance training is widely used to improve stability, and Achilles tendon vibration is an effective method. However, evaluation of training progress often relies on Center of Pressure (COP) analysis, ...