The world of education is changing at the same rate as the digital landscape. The integration of artificial intelligence (AI) into learning systems has opened up new opportunities for improving the ...

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 ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

A collaborative approach to training AI models can yield better results, but it requires finding partners with data that ...

Our eLibrary offers over 25,000 IMF publications in multiple formats. This study applies state-of-the-art machine learning (ML) techniques to forecast IMF-supported programs, analyzes the ML ...

Emerging artificial intelligence (AI) is becoming a powerful driving force behind educational technology, fundamentally shifting educational dynamics and how students learn and receive support. AI ...

MIT takes a hands-on approach to tactile learning By Paul Ridden February 23, 2024 The smart glove system can capture touch-based instructions from a tutor or professional, and reproduce them in ...

An ad hoc committee will consider the urgent and longer-term actions necessary to foster the development of a continuously learning healthcare system. Building on recent related work of the Institute ...

Rapid technological change is impacting aspects of how learners currently engage with global sustainability challenges; for example, platforms, interactive ...