This Research Topic is part of the Frontiers in Neurorobotics Insights series. Other titles in the series are:<br/><a href=" ...

A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk ...

Two former Google DeepMind researchers who worked on the company’s Nobel Prize-winning AlphaFold protein structure prediction ...

Understanding machine learning modifies cold atmospheric plasma medicine delivery in cancer treatments without being trained on detailed plasma parameters.

US Naval Research Laboratory scientists have successfully trained an Astrobee zero-gravity robot to fly in space without human interference.

A recent joint study between Linköping University and the Department of Forensic Genetics and Forensic Toxicology of the ...

The rally comes after the company raised its 2025 organic revenue growth outlook to about 45% up from a previous estimate of ...

Brex reports AI is transforming procurement, enhancing efficiency through automated tasks and predictive analytics, while ...

Pairing artificial intelligence techniques called Q-learning and advantage actor-critic provides new way to optimize hybrid photovoltaic-thermoelectric systems.

QNNs achieved 95 percent accuracy, while QSVMs reached 94 percent, both surpassing classical machine learning methods, which ...

The accuracy of machine learning algorithms for predicting suicidal behavior is too low to be useful for screening or for ...

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...