In a commentary for The Wall Street Journal, Prof. Alex "Sandy" Pentland and Thomas Hardjono write about digital identities and the risks associated with how they are authenticated. “The mistake that both governments and tech pioneers are making is failing to realize that trustworthy identity depends on jointly-issued credentials,” they explain.
In a forthcoming book excerpted in The Guardian, Alex Beard describes Prof. Deb Roy's project to record his infant son's learning behaviors. Beard explains that while Roy set out to create machines that learned like humans, he was ultimately blown away by "the incredible sophistication of what a language learner in the flesh actually looks like and does." "The learning process wasn’t decoding, as he had originally thought, but something infinitely more continuous, complex and social."
Endor, a spin-out that originally began at the Media Lab, has acquired $45 million in token pre-sales for its “blockchain-based predictive analytics technology” notes Reuters. “Endor’s platform allows users to key in questions and get predictions as answers. Its tokens can be spent by individuals and data owners to access predictions.”
Cogito, a Media Lab spinout, is used by MetLife to “detect signs of distress and other emotions in a customer’s voice,” writes Tom Simonite for Wired. The program helps customer service representatives more consistently use an appropriate tone when handling often sensitive customer calls.
The Broad Institute of MIT and Harvard is utilizing cloud computing to support its genomic sequencing programs, which “allows for large-scale data processing, and makes it easier for researchers to share data securely,” writes Steven Norton for The Wall Street Journal. Currently, the Institute has reduced the cost of genome processing on the cloud from about $45 to $5.
The Sloan Sports Analytics Conference has expanded to show interest in virtual reality, machine learning, and artificial learning, reports Alex Speier of The Boston Globe. The work highlighted at the conference “is in some ways breathtaking, with sports understood in ways that seemed unimaginable at the start of the century,” writes Speier.
Spun out of Sloan’s Billion Prices Project, PriceStats tracks millions of items sold online and produces a daily measure of U.S. consumer prices, allowing investors to track inflation faster.“By producing a daily index of prices…it has a considerable jump on figures that government entities calculate monthly,” writes Eric Morath of the Wall Street Journal.
Danny Crichton of TechCrunch highlights Media Lab researchers Kent Larson and John Clippinger, who are sorting socio-economic factors into datasets in order to create a model that can guide a community towards success. “Wouldn’t it be great to create an alternative where instead of optimizing for financial benefits, we could optimize for social benefits, and cultural benefits, and environmental benefits,” said Larson.
In an article for The Wall Street Journal, Visiting Lecturer Irving Wladawsky-Berger spotlights MIT’s AI and the Future of Work Conference. Wladawsky-Berger writes that participants, “generally agreed that AI will have a major impact on jobs and the very nature of work. But, for the most part, they viewed AI as mostly augmenting rather than replacing human capabilities.”
CBS Boston spotlights how Portal Instruments, an MIT startup, is bringing a needle-free injector to the market, which could change the way people take medicine. The device, “fires a pressurized spray to penetrate the skin, instead of piercing the skin with traditional needles.”
Writing for the Financial Times, Associate Prof. Tavneet Suri explains the importance of measuring the benefits of philanthropy in sub-Saharan Africa. This data “could help resource- or skills-constrained African companies to leverage the benefits of impact measurement tools, to better understand their positive impact on poverty,” Prof. Suri explains.
Guardian reporter Alex Hern writes that in a new paper MIT researchers demonstrated the concept of adversarial images, describing how they tricked an AI system into thinking an image of a turtle was an image of a gun. The researchers explained that their work “demonstrates that adversarial examples are a significantly larger problem in real world systems than previously thought.”
Using video to processes shadows, MIT researchers have developed an algorithm that can see around corners, writes Alyssa Meyers for The Boston Globe. “When you first think about this, you might think it’s crazy or impossible, but we’ve shown that it’s not if you can understand the physics of how light propagates,” says lead author and MIT graduate Katie Bouman.
During an appearance on WGBH’s Greater Boston, Prof. Regina Barzilay speaks with Jim Braude about her research and the experience of winning a MacArthur grant. Barzilay explains that the techniques she and her colleagues are developing to apply machine learning to medicine, “can be applied to many other areas. In fact, we have started collaborating and expanding.”
Prof. Regina Barzilay, recipient of a 2017 MacArthur grant, speaks to Radio Boston’s Meghna Chakrabarti about her research. Barzilay explains that data is not currently used in the medical field “to select treatments, to personalize it, or to help the patients reduce their uncertainty about the outcomes. I really strongly felt it has to be changed.”