By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...

AI is not yet the success that it should be, so two dozen enterprises will disclose their move toward a crucial new paradigm ...

This post examines the evolution of robotic laboratories and outlines the key breakthroughs required to advance toward genuinely embodied scientific intelligence. The earliest defining milestone of ...

AI-ready data is a conscious choice, and the organizations that lead the era of AI will be those that treat data as a strategic asset and culture as a force multiplier.

Abstract: The incorporation of Machine Learning (ML) with gas sensing has brought a revolution in the field by greatly improving the sensing performance, detection accuracy and selectivity.

In the rapidly evolving fields of artificial intelligence and machine learning, a small number of individuals manage to operate effectively at the intersection of deep technical research and ...

Multi-view learning is gradually becoming a well-established domain within machine learning that tackles problems involving the availability of multiple views or sources of data. Existing multi-view ...

In competitive swimming, victory is decided by hundredths of a second, yet traditional biomechanical analysis often struggles with data complexity and delayed feedback. This review addresses the ...