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Radio Boston (WBUR)

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.

New Scientist

A storytelling robot developed by MIT researchers could be used to help boost language skills in young children and could help prepare children for learning in school, report Donna Lu for New Scientist. “If a child doesn’t start kindergarten ready to learn, it is very difficult and very expensive for them to catch up,” explains Prof. Cynthia Breazeal.

TechCrunch

MIT startup Vicarious Surgical is developing a minimally invasive surgical technique that combines virtual reality and miniature surgical robots, reports Jonathan Sieber for TechCrunch. The founders say they hope “to drive down both the cost of higher impact surgeries and access to the best surgeons through remote technologies.”

BBC News

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 News

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.”

CNN

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.

TechCrunch

MIT researchers have developed a robot that can learn how to successfully play Jenga, reports Brian Heater for TechCrunch. “The robot has to learn in the real world, by interacting with the real Jenga tower,” explains Prof. Alberto Rodriguez. “The key challenge is to learn from a relatively small number of experiments by exploiting common sense about objects and physics.”

Gizmodo

Gizmodo reporter Andrew Liszewski writes that MIT researchers have developed a robot that can play Jenga using visual and physical cues. The ability to feel “facilitated the robot’s ability to learn how to play all on its own, both in terms of finding a block that was loose enough to remove, and repositioning it on the top of the tower without upsetting the delicate balance.”

The Guardian

MIT researchers have developed a robot that can play Jenga by combining interactive perception and manipulations, reports Mattha Busby for The Guardian. “In what marks significant progress for robotic manipulation of real-world objects, a Jenga-playing machine can learn the complex physics involved in withdrawing wooden blocks from a tower through physical trial and error,” Busby explains.

NBC

Principal Research Scientist Andrew McAfee speaks with NBC's Stephanie Ruhle about the ways robots are changing work. “The hollowing out of the middle class has not yet been replaced by middle class 2.0,” says McAfee. “That should be our real homework going forward, not trying to demonize the automation or the technology.”

Popular Science

A new robot developed by MIT researchers uses AI and sensors to play the game of Jenga, reports Rob Verger for Popular Science. “It decides on its own which block to push, [and] which blocks to probe; it decides on its own how to extract them; and it decides on its own when it’s a good idea to keep extracting them, or to move to another one,” says Prof. Alberto Rodriguez.

Wired

Wired reporter Matt Simon writes that MIT researchers have engineered a robot that can teach itself to play the game of Jenga. As Simon explains, the development is a “big step in the daunting quest to get robots to manipulate objects in the real world.”

Forbes

Writing for Forbes, Prof. David Mindell explores the concept of using work, in particular the duties a home health aide performs, as a Turing test for the abilities of AI systems. “In this era of anxiety about AI technologies changing the nature of work,” writes Mindell, “everything we know about work should also change the nature of AI.”

Wired

Prof. Daniela Rus and R. David Eldeman, director of the Project on Technology, Economy, and National Security at MIT speak with Matt Simon at Wired about working with robots. “The robots have a fixed architecture and they have a fixed vocabulary,” explains Rus. “So, people will continue to have to learn that and understand what the tool is useful for.”

CBS Boston

CBS Boston reporter Dr. Mallika Marshall spotlights research by researchers at MIT and Brigham and Women’s Hospital to develop robotic prosthetic limbs controlled by the brain. “It’s a wonderful experience as a researcher,” explains Herr of the work’s impact. “They walk away and start crying or laughing and giggling and say, ‘my gosh I have my body back, I have leg back, I have my life back.’”