In his proposal to NSF, Luo coined this rich-get-richer effect “annotation inequality.” One problem of annotation inequality ...

For Lucas Farnung, there is no question more fascinating than how a single fertilized egg develops into a fully-functioning human. As a structural biologist, he is studying this process on the ...

Researchers have constructed a robot that uses machine learning to fully automate a complicated microinjection process used in genetic research. University of Minnesota Twin Cities researchers have ...

Recent years have seen a significant increase in the availability of large datasets for agriculture applications. Remote ...

AI, Machine Learning & Robotics research at Drexel University's College of Computing & Informatics (CCI) explores algorithms, mathematics, and applications of artificial intelligence (AI) through ...

Are you contemplating a PhD and interested in economic or social science applications of machine learning? You might be a good fit for our pre-doc position. The Center for Applied Artificial ...

STOCKHOLM — John Hopfield and Geoffrey Hinton were awarded the Nobel Prize in physics Tuesday for discoveries and inventions that formed the building blocks of machine learning. "This year's two Nobel ...

Early-onset colorectal cancer (EOCRC) is an area of rapidly intensifying research, as incidence rates among individuals under ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

With work on machine learning that uses artificial neural networks, John J. Hopfield and Geoffrey E. Hinton “showed a completely new way for us to use computers,” the committee said. By Derrick Bryson ...