A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and ...

When JOA began looking to develop a never-before-seen dry molded fiber converting machine and platform, it found the ...

In one of the first cases from the Federal Circuit addressing patent eligibility for machine-learning (ML) inventions, the ...

The Chief Medical Officer and Director of Global Healthcare and Non-profits at Amazon Web Services, Dr Rowland Illing, has said that the immense computational capacity of the cloud, along with the ...

Mining operations consistently strive to identify process inefficiencies, improve equipment reliability, optimise the use of ...

have significant potential in improving motor function for neurorehabilitation. Despite recent advancements, learning diversified EEG features across different frequency ranges remains a significant ...

Introduction: Procedural Perceptual-Motor Learning (PPML) enables the acquisition of new motor procedures and is fundamental for a wide range of human behaviors. While traditional research has focused ...

Please view our affiliate disclosure. As artificial intelligence (AI) continues to revolutionize many sectors, the vital field of machine learning rises in importance. Because of this, there is a high ...

Functionally isolated modulators facilitate more precise motor control in robotic designs. These galvanically isolated modulators enable robotics engineers to achieve precise motor control and system ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

In addition, a variable-depth learning architecture is proposed, called adaptive LUCE (AdaLUCE), and its number of blocks can be dynamically adjusted for each input by tuning a desired threshold. In ...