Scientific American explores how MIT researchers created a new website aimed at exploring the potential perils and possibilities of deepfakes. “One of the things I most love about this project is that it’s using deepfakes as a medium and the arts to address the issue of misinformation in our society,” says Prof. D. Fox Harrell.
Prof. Fox Harrell speaks with New York Times reporter Joshua Rothkopf about the educational potential of deepfake technology. “To have the savvy to negotiate a political media landscape where a video could potentially be a deepfake, or a legitimate video could be called a deepfake, I think those are cases people need to be aware of,” says Harrell.
WBUR’s Bob Shaffer reports on a deepfake video created by MIT's Center for Advanced Virtuality, which aims to spark awareness of deepfake technologies. The goal is to highlight how deepfakes are an extension “of a continuum of misinformation that we all should be aware of and should have our ears tuned to, if we can," said co-director Halsey Burgund.
MIT researchers have developed an AI system that can predict Alzheimer’s risk by forecasting how patients will perform on a test measuring cognitive decline up to two years in advance, reports Casey Ross for STAT.
7 News spotlights how CSAIL researchers have developed two new software systems that are aimed at allowing anyone to customize and design their own knitted design patterns. “The researchers tested the software by having people with no knitting experience design gloves and hats,” explains 7 News reporter Keke Vencill.
Smithsonian reporter Emily Matchar spotlights AlterEgo, a device developed by MIT researchers to help people with speech pathologies communicate. “A lot of people with all sorts of speech pathologies are deprived of the ability to communicate with other people,” says graduate student Arnav Kapur. “This could restore the ability to speak for people who can’t.”
Graduate student Alexandre Kaspar speaks with BBC Click about two new systems that ease the process of designing and making knitted clothing items. Kaspar explains that the systems allow users to “create building blocks of parts that are being knit.”
TechCrunch reporter Catherine Shu writes that CSAIL researchers have developed two new systems that enable users to design and customize their own knitted items, no knitting experience required. Shu explains that the researchers want “to make designing and making machine-knitted garments as accessible as 3D printing is now.”
Profs. Daniel Rothman and Daniela Rus contributed to a Boston Globe piece exploring what the next big moonshot challenge should be. Rothman noted that, “We need to understand how the Earth system responds to environmental change,” while Rus expressed a desire to explore interspecies communication and the development of intelligent clothing.
Writing for Astronomy, Korey Haynes features Saydean Zeldin’s work at the MIT Instrumentation Lab designing software that allowed the Apollo astronauts to control the spacecraft engines. Haynes notes that Zeldin has had “a major hand in the way technology works today.”
Verge reporter James Vincent writes that researchers at the MIT-IBM Watson AI Lab have developed an algorithm that can transform selfies into artistic portraits. The algorithm is “trained on 45,000 classical portraits to render your face in faux oil, watercolor, or ink, “Vincent explains.
Writing for Astronomy, Korey Haynes spotlights Elaine Denniston, who was hired as a keypuncher at the MIT Instrumentation Lab, but went above and beyond, reviewing the Apollo code for errors. Denniston, who went on to become a lawyer, says that she “didn’t realize then that what I did was anything special. I typed, I found errors, I nagged people.”
Prof. Max Shulaker has fabricated the first foundry-built silicon wafer, a monolithic 3D carbon nanotube integrated circuit, reports Samuel K. Moore for IEEE Spectrum. “We’ve completely reinvented how we manufacture this technology,” explains Shulaker, “transforming it from a technology that only worked in our academic labs to a technology that can and is already today working inside a commercial fabrication facility within a U.S. foundry.”
CSAIL researchers have developed a new system aimed at allowing non-experts to design drones of different sizes and shapes that can alternate between hovering and gliding. The drones combine “the stability and flexibility of a multi-copter, with the speed and fuel efficiency of an airplane.”
Writing for The New York Times, research scientists Chelsea Barabas and Karthik Dinakar argue that risk assessment algorithms designed to help predict people’s future criminal behavior are “fundamentally flawed. They give judges recommendations that make future violence seem more predictable and more certain than it actually is. In the process, risk assessments may perpetuate the misconceptions and fears that drive mass incarceration.”