- Published in Innovation News
UC Riverside Scientists identify hundreds of drug candidates to treat COVID-19
UC Riverside researchers used a powerful machine-learning approach to screen millions of chemicals to find suitable candidates
UC Riverside researchers used a powerful machine-learning approach to screen millions of chemicals to find suitable candidates
The University of Georgia Center for the Ecology of Infectious Diseases has launched a new Coronavirus Tracker. The tracker is the work of CEID’s Coronavirus Working Group, convened to provide timely, data-driven situation awareness about the COVID-19 outbreak.
Artificial intelligence drew much inspiration from the human brain but went off in its own direction. Now, AI has come full circle and is helping neuroscientists better understand how our own brains work.