Researchers from Brown and MIT suggest how scientists can circumvent the need for massive data sets to forecast extreme events with the combination of an advanced machine learning system and sequential sampling techniques.
Jonghwan Lee is Assistant Professor of School of Engineering and Carney Institute for Brain Science at Brown University. He leads a research group (leelab.ai) at the intersection of medical photonics, neural engineering, and artificial intelligence. The Carney Institute recently sat down with Professor Lee for a Q&A.
Improving healthcare within our communities through impactful digital technology, the first cohort aims to make design and implementation easier by bringing minds from a multitude of perspectives together.
As students commenced their Brown academic careers, President Christina H. Paxson and Dean of the School of Engineering Tejal Desai urged them to seek out new perspectives and immerse themselves in research.
With a dual appointment in engineering and computer science, Associate Professor Nora Ayanian looks at solutions for end-to-end multi-robot coordination – that is, making a team of robots work without roboticists on hand to monitor their progress.
The lab of George Karniadakis, professor of applied mathematics and engineering, leads the charge of developing physics-informed neural networks to diagnose and predict the severity of arterial aneurysms.
A senior capstone and Halpin Prize winning project of Ilan Upfal ’22.5 focused on optimization strategies for tidal energy capture, an experimental system approached from a signal processing viewpoint.
A new study associated with the BrainGate consortium offered significant clues about how humans learn and form long-term memories; the findings could provide insights for developers of assistive tools for people with paralysis.
The Brown Corporation authorized a process to select an architect and launch a full programming phase for the building, a critical step in a long-held vision to create new laboratory space for cutting-edge life sciences research.