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ReMatch+ Intern - Laura Fang

Uncertainty Quantification for Machine Learning Models

From  Crystal Dixon on July 27th, 2021 0 likes 3 plays

Analyzing Micromobility within the Urban Transportation Landscape, Ari Riggins, UG '23 (2312257)

I had the privilege of working under the guidance of Dr. Derek A. Paley in his data-driven modeling and estimation of dynamical systems lab at the University of Maryland. For ten weeks, I explored…

From  Research Princeton Research Day on April 29th, 2021 2 likes 60 plays

Decoding Brain Signals into Speech - Steps Towards Universal Brain-Machine Interfaces

Brain-computer interfaces are one of humanity's most ambitious goals. This technology promises to augment our cognitive and physical abilities by allowing us to control devices and communicate…

From  Research Princeton Research Day on April 29th, 2020 1 likes 107 plays

Early-life autism spectrum disorder diagnosis with nonlinear EEG analysis using machine learning methods

With the increased prevalence of autism spectrum disorder (ASD) comes the challenge of identifying children at risk for ASD as early in life as possible so that they can benefit from early…

From  Research Princeton Research Day on April 29th, 2020 0 likes 67 plays

The Path to Safe Fusion Energy through Deep Learning

San Diego Supercomputer Center Published on May 15, 2019 When the plasma inside a fusion reactor becomes unstable, there can be a release of energy that seriously damages the reactor. Key to…

From  Chris Cane on May 16th, 2019 0 likes 16 plays