MIT CSAIL researchers say improving computing technology after Moore's Law will require more efficient software, new algorithms, and specialized hardware.

In this episode of Radio Corona, we discuss digital contact tracing initiatives throughout the world with Danny Weitzner of MIT’s CSAIL, and Bobbie Johnson, a senior editor at MIT Technology Review.

For many of us, our microwaves and dishwashers aren’t the first thing that come to mind when trying to glean health information, beyond that we should (maybe) lay off the Hot Pockets and empty the dishes in a timely way.

It can be hard to keep track of all the numbers, statistics, and charts swirling around the internet -- we’re inundated with information that can be rapidly disseminated and dissected. To carve through some of the sludge, here’s a selected highlight of recent computer science related efforts to fight COVID-19. 

MIT researchers have designed a congestion-control scheme for wireless networks that could help reduce lag times and increase quality in video streaming, video chat, mobile gaming, and other web services.

View the annual list from MIT Technology Review that includes technologies that "will make a real difference in solving important problems."

Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) looked at the 5G problem recently and wondered if people have had things completely backwards this whole time. Rather than focusing on the transmitters and receivers, what if we could amplify the signal by adding antennas to an external surface in the environment itself?