A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

This study presents useful findings on how the transient absence of visual input (i.e., darkness) affects tactile neural encoding in the somatosensory cortex. The evidence supporting the authors' ...

Ravi Kiran has led the development of large-scale behavioral analytics systems that identify fraud not just by simple red ...

Meanwhile, Governments are using to data to help guide policy decisions, making this a prime area for social scientists with an interest in quantitative methods. This course aims to provide an ...

Marine cone snails are host to a family of dangerous neurotoxins. Very little is known about how those toxins interact with ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...

Researchers at Pennsylvania State University examined whether machine learning could predict the risk and contributing ...

Detecting early rising Parkinson's disease (PD) symptoms could improve treatment outcomes by enabling earlier treatment ...

MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform ...