MIT’s new college of computing will teach students how to apply computer science and artificial intelligence in their specific field of study, writes Dave Gershgorn for Quartz. Gershgorn notes that researchers studying the impact of AI on society “have consistently suggested the expansion of interdisciplinary education, on the grounds that computer scientists can sometimes overlook the nuances of other fields.”
In an article for TechCrunch, Danny Crichton calls the new MIT Stephen A. Schwarzman College of Computing a “doubling down on the future of computer science.” Crichton writes that “the objective of the new school will be to ensure that all MIT students become familiar with the field regardless of their chosen profession.”
Boston Globe reporter Andy Rosen writes that MIT is establishing a college of computing as part of an effort to examine the impact computer science and AI is having on all disciplines. “We have to move much faster educating the next generation for the new economy,” explains President L. Rafael Reif. “The way to do that is to come up with integrated curriculum.”
Financial Times reporter Clive Cookson writes that MIT is establishing a college of computing to help students and researchers use computing and AI to advance their work. President L. Rafael Reif explains that the MIT Stephen A. Schwarzman College of Computing “will constitute both a global centre for computing research and education, and an intellectual foundry for powerful new AI tools.”
The New York Times writes about the new MIT Stephen A. Schwarzman College of Computing, calling MIT’s move “a particularly ambitious step.” President Reif says the College will “educate the bilinguals of the future,” people in fields like biology, chemistry, politics, history, and linguistics who are also skilled in the techniques of modern computing that can be applied to them.
In an article for The Wall Street Journal, Joseph Coughlin, director of the AgeLab, and research associate Lucas Yoquinto write that companies are increasingly designing aesthetically-pleasing and user-friendly technology for the elderly. “As the focus on older consumers’ preferences goes beyond the development of better products to the creation of new product categories, the experience of later life may improve substantially,” they explain.
As part of Wired’s 25 anniversary festival, Prof. Joi Ito, director of the Media Lab, leads a conversation with LinkedIn co-founder Reid Hoffman about “blitzscaling,” which encourages new companies to prioritize speed over efficiency. Ito points out that blitzscaling technology “accelerates you in the direction you are already going,” making it hard to correct any issues that arise early on.
Prof. Joi Ito, director of the Media Lab, writes for Wired about what he calls the Great Digitization Event (GDE), during which the internet is quickly killing off systems, but also allowing new organizations to emerge. “I see the #MeToo and Time’s Up movements also using new versions of the same methods to begin the long path to ending centuries of patriarchal power,” Ito writes.
Prof. Amy Finkelstein speaks with Lisa Mullins of WBUR’s All Things Considered about winning a MacArthur grant for her work examining health economics. Finkelstein explains that the goal of her work is to “reduce the amount of rhetoric in health care policy discussion and increase the amount of evidence.”
Boston Globe reporter Michael Levenson writes that Profs. Amy Finkelstein and Lisa Parks have been selected as recipients of the MacArthur “genius grant.” Finkelstein notes that the award will allow her to take more risks with her research, while Parks plans to use the award to “strengthen MIT’s Global Media Technologies and Cultures Lab and deepen the university’s ties to Africa, where she does research,” Levenson explains.
Profs. Amy Finkelstein and Lisa Parks have been named MacArthur Fellows, reports Joe Barrett for The Wall Street Journal. Barett explains that Finkelstein “conducts studies in the economics of health care; among her findings is that Medicaid expansion increases self-reported health and financial security, but also increases use of the emergency room and has no significant impact on many measures of physical health.”
Researchers from MIT and the Qatar Computing Research Institute have developed a machine learning tool that can identify fake news, reports Steven Melendez for Fast Company. Melendez writes that the system “uses a machine learning technique known as support vector machines to learn to predict how media organizations will be classified by Media Bias/Fact Check.”
Wall Street Journal reporter Eugenia Cheng examines how three MIT researchers developed the RSA encryption system. “The development of RSA cryptography shows how mathematics research done for curiosity’s sake can eventually become useful, even if it takes several centuries,” writes Cheng. “It’s almost impossible to predict what research will yield practical results.”
Prof. Yoel Fink speaks with BBC Click about his work developing fabrics embedded with light-emitting diodes that could help keep pedestrians safe. Fink explains that the fabric can detect the lights from an oncoming vehicle and establish an “affirmative link between the car and pedestrian.”
Wall Street Journal reporters Annie Gasparro and Jesse Newman spotlight the Media Lab’s Open Agriculture Initiative, where Caleb Harper is at work developing a Food Computer. Harper explains that the Food Computer, a controlled environment where all of a plant’s needs are controlled and tracked, is a “fundamentally different way of thinking about where we plant things and why.”