Abstract: Global warming has significantly increased the frequency of forest fires. Unmanned aerial vehicles (UAVs) provide rapid response and real-time monitoring, offering unique advantages over ...

Researchers from the High Energy Nuclear Physics Laboratory at the RIKEN Pioneering Research Institute (PRI) in Japan and ...

Nguyen Huu Thien built on his passion for mathematics to become an associate professor of computer science in the U.S. and ...

This is the official repository of the paper "TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling". It consists of two parts: One dot represents a performance score on one ...

Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer ...

Circular RNAs (circRNAs), recognized as covalently closed, single-stranded RNA molecules formed through reverse splicing, are characterized by their unique ring structures, site-specific splicing, and ...

Researchers suggest that MultiCell could potentially be used to discern early patterns of disease, such as in asthma.

Understanding how molecules interact with metal surfaces is fundamental to catalysis and surface chemistry. However, traditional computational methods face a trade-off: achieving high accuracy often ...

Abstract: The increasing incidence of mental health issues demands innovative diagnostic methods, especially within digital communication. Traditional assessments are challenged by the sheer volume of ...

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

Master’s thesis position (M.Sc. student) in Deep Learning for Healthcare.

Dementia is a group of disorders that gradually impair memory, thinking and daily functioning. Alzheimer's disease (AD), the ...