During the six-week workshop, attendees collaborated to design a system to monitor neurodegenerative diseases over the phone, detect risk and monitor mental health through posts on social media, and build a speech recognition system from untranscribed data.
After actor Charlie Sheen disclosed his HIV-positive status on NBC’s Today show last November, millions took to the Internet to find out more about HIV, according to a new study led by computer scientist Mark Dredze and two Whiting School alumni.
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.
Social media users who share conspiracy theories and pseudoscientific claims about the Zika virus may undermine upcoming efforts to keep the disease from spreading.
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.