Symbolic Systems
Showing 101-110 of 123 Results
-
Krishna Shenoy
Member, Bio-X
Current Research and Scholarly InterestsWe conduct neuroscience, neuroengineering and translational research to better understand how the brain controls movement, and to design medical systems to assist people with paralysis. These are referred to as brain-machine interfaces (BMIs), brain-computer interfaces (BCIs) and intra-cortical neural prostheses. We conduct this research as part of our Neural Prosthetic Systems Lab (NPSL) and our Neural Prosthetics Translational Lab (NPTL), which I co-direct with Prof. Jaimie Henderson, M.D.
-
Yoav Shoham
Professor of Computer Science, Emeritus
BioYoav Shoham is professor emeritus of computer science at Stanford University. A leading AI expert, Prof. Shoham is Fellow of AAAI, ACM and the Game Theory Society. Among his awards are the IJCAI Research Excellence Award, the AAAI/ACM Allen Newell Award, and the ACM/SIGAI Autonomous Agents Research Award. His online Game Theory course has been watched by close to a million people. Prof. Shoham has founded several AI companies, including TradingDynamics (acquired by Ariba), Katango and Timeful (both acquired by Google), and AI21 Labs. Prof. Shoham also chairs the AI Index initiative (www.AIindex.org), which tracks global AI activity and progress, and WeCode (www.wecode.org.il), a nonprofit initiative to train high-quality programmers from disadvantaged populations.
-
Meghan Sumner
Associate Professor of Linguistics
BioMeghan Sumner received her PhD in Linguistics at Stony Brook University. After completing her PhD, she was an NIH NRSA Postdoctoral Fellow in Cognitive Psychology. She has been at Stanford University since 2007, where she is now an Associate Professor of Linguistics and the Director of the Stanford Phonetics Lab, where she investigates variation and spoken language understanding.
Meghan’s research sits at the intersection of acoustic phonetics, language use and variation, social meaning, and cognitive psychology. She investigates attention, perception, recognition, memory, and comprehension within and across individuals, groups, and languages, aiming to understand how different components of spoken language understanding work together. She and her students are testing the predictions of and hope to contribute to the development of a dynamic adaptive socially-anchored model of spoken language understanding. For the past twenty years, her work has focused on diverse talker and listener populations, drawing on variation to address issues in linguistics and psychology related to representation, asymmetries in memory, social effects in spoken language recognition, familiarity, experience, and categorization.
She is currently a Stanford Impact Labs Design Fellow, working with public institutions and advocacy groups to apply language-based social science methods to increase protections for children living with domestic violence. -
Stuart Thompson
Professor of Biology (Hopkins Marine Station)
Current Research and Scholarly InterestsNeurobiology, signal transduction
