A new machine learning model not only improves the prediction accuracy of disturbances in drone formations but also enhances operator decision-making through explainability, helping UAV swarms stay in ...

Machine learning has been used for a wide range of tasks such as speech recognition, fraud detection, product recommendations, image recognition and personalized medicine — nevertheless, its ...

A new machine-learning simulation system promises cosmologists an expanded suite of galaxy models -- a necessary first step to developing more accurate and relevant insights into the formation of the ...

Important insights into the mechanisms underlying spiral nanostructure formation in solidifying metal alloys have been gained by Ashwin Shahani at the University of Michigan and colleagues. The team’s ...

Estimating the location of contact is a primary function of artificial tactile sensing apparatuses that perceive the environment through touch. Existing contact localization methods use flat geometry ...