Diane Greene SM ’78, a life member of the MIT Corporation, speaks with Becky Quick of CNBC about the future of AI. Greene explains that companies can now combine data with computational power, so that an “algorithm can learn from the data. Once you start doing that you start getting insights you’ve never gotten before that can leapfrog what you’re able to do.”
Profs. Regina Barzilay and Dina Katabi discuss how AI could transform the field of medicine in a special episode of CNBC’s Squawk Box, broadcast live from MIT’s celebration for the new MIT Schwarzman College of Computing. Barzilay explains that her goal is “to teach machines to do stuff that humans cannot do, for instance predict who is going to get cancer within two years.”
President Rafael Reif and Stephen Schwarzman discuss the MIT Schwarzman College of Computing on Squawk Box. “We are integrating those computing and AI tools into all the disciplines we have, so every student here, no matter what he or she majors in, will be very comfortable using these new tools to practice their profession,” explains Reif.
WBUR’s Deborah Becker speaks with Prof. Regina Barzilay about her work applying AI to health care and Prof. Sangbae Kim about how the natural world has inspired his robotics research during a special Radio Boston segment highlighting innovation in the greater Boston area.
Xconomy reporter Jeff Engel writes about the three-day celebration held for the new MIT Stephen A. Schwarzman College of Computing. Engel writes that during the event, Eric Schmidt, technical advisor for Alphabet, noted that the new college will help address the AI talent shortage. “The level of demand across everything is exploding in this field,” Schmidt explained.
The Associated Press reports that MIT postdoc Nataliya Kosmyna has developed a “Thinking Cap” that analyzes brain activity to sort wearers into a Hogwarts house. The cap, which uses noninvasive electrodes, will eventually be used to help students build self-esteem.
MIT postdoc Nataliya Kosmyna demonstrated a device dubbed the “Thinking Cap” at the MIT Computing Expo, part of the Institute’s celebration of the new MIT Schwarzman College of Computing. Kosmyna explains that the “Thinking Cap” aims to help students build self-esteem and improve their academic performance, writes Steve Annear of The Boston Globe.
WHDH-TV spotlights how research engineer Dane Kouttron has created a self-driving snow blower “powered by a lithium battery that can keep the robot running for four hours continuously.”
CBS Boston highlights how research engineer Dane Kouttron has developed a snow blower that can be operated remotely. Kouttron explains that the idea behind the machine is to, “sit out with your cup of tea and remotely pilot your snow moving machine from the comfort of your own home.”
New York Times reporter Janet Morrissey spotlights Prof. Regina Barzilay and Prof. Dina Katabi’s work developing new AI systems aimed at improving health care. “It’s absolutely the future; it’s even the present,” says Barzilay. “The question is how fast do we adopt it?”
In an article for the Financial Times, President L. Rafael Reif calls for government investment in AI research, and educational offerings that integrate the study of AI into every discipline. “Those nations and institutions which act now to help shape the future of AI will help shape the future for us all,” writes Reif.
Graduate student Joy Buolamwini writes for TIME about the need to tackle gender and racial bias in AI systems. “By working to reduce the exclusion overhead and enabling marginalized communities to engage in the development and governance of AI, we can work toward creating systems that embrace full spectrum inclusion,” writes Buolamwini.
In this video, graduate student Nima Fazeli speaks with the BBC News about his work developing a robot that uses sensors and cameras to learn how to play Jenga. “It’s using these techniques from AI and machine learning to be able to predict the future of its actions and decide what is the next best move,” explains Fazeli.
CBS This Morning spotlights how MIT researchers have developed a new robot that can successfully play Jenga. “It is an automated system that has had a learning period first,” explains Prof. Alberto Rodriguez. “It uses the information from the camera and the force sensor to interpret its interactions with the Jenga tower.”
MIT researchers have developed a robot that can play Jenga. “It "learns" whether to remove a specific block in real time, using visual and tactile feedback, in much the same way as a human player would switch blocks if the tower started to wobble,” reports Jack Guy for CNN.