Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

Two researchers advocate for new AI-based measures not because they offer measurement free from error, but rather because they avoid specific problematic forms of error linked to overreliance on ...

Understanding and preventing drug side effects holds a profound influence on drug development and utilization, profoundly impacting patients’ physical and mental well-being. Traditional artificial ...

This system utilizes machine learning algorithms to optimize the operation of particle accelerators, reducing manual intervention and enhancing precision in real-time control. By integrating virtual ...

Are you contemplating a PhD and interested in economic or social science applications of machine learning? You might be a good fit for our pre-doc position. The Center for Applied Artificial ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

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 ...

The Technical Psychoacoustics research group at the Aalto Acoustics Lab, within the Department of Information and Communications Engineering at Aalto University, invites applications for a one-year ...

This activity was supported by a contract between the National Academy of Sciences and Open Philanthropy. Any opinions, findings, conclusions, or recommendations expressed in this publication do not ...