’13 Reasons Why’ prompts spike in suicide-related web searches, concerns about copycats
Researchers study Google Trends data for period after controversial Netflix show’s March debut.
Researchers study Google Trends data for period after controversial Netflix show’s March debut.
Advances in artificial intelligence are improving the possibility of real-time language translation. Philipp Koehn, professor of computer science and member of the Center for Language and Speech Processing, comments.
Suchi Saria and Carol Reiley were profiled by Forbes.com as leading women in the research field of artificial intelligence.
Ralph Etienne-Cummings
Ralph Etienne-Cummings, professor and chair of the Department of Electrical and Computer Engineering, is serving as co-chair of an international conference, the IEEE International Symposium on Circuits and Systems.
In a Q&A with Inverse Innovation, Suchi Saria discusses her research in using machine learning algorithms to tailor treatment and improve outcomes for clinical patients.
The six-week workshop—which marks the 21st summer workshop in CLSP’s history—seeks to advance and promote machine learning for speech language and computer vision technology.
Predicting suicide risk by understanding language usage is exactly what Glen Coppersmith–data scientist, psychologist, and CLSP affiliate–has set out to do, reports Mashable.
“A momentous change in health care is under way,” says Suchi Saria, an assistant professor of Computer Science at Johns Hopkins University. Fast Company reports five ways that machine learning is poised to bring new rigor to medicine.
KITT.AI, a startup co-founded by Xuchen Yao and Guoguo Chen, has unveiled a software toolkit that will allow developers to add verbal “hotword detection” to devices.
Recent research published in Vaccine revealed a key factor in making articles about vaccines go viral, ScienceDaily reports. Mark Dredze served as a technical lead for the study.