TechCrunch reporter Brian Heater spotlights new MIT robotics research, including a team of CSAIL researchers “working on a system that utilizes a robotic arm to help people get dressed.” Heater notes that the “issue is one of robotic vision — specifically finding a method to give the system a better view of the human arm it’s working to dress.”
Newsha Ghaeli ’17 - president and co-founder of Biobot, a public health research, data and analytics firms that has developed and promoted wastewater surveillance technology - speaks with Vox reporter Muizz Akhtar about how wastewater surveillance can be used to predict and prepare for future pandemics. “Our vision is that this is a permanent infrastructure layer on our sewer systems, so that it becomes one of the core kinds of pandemic preparedness in this country and disease surveillance globally,” says Ghaeli.
STAT reporter Katie Palmer spotlights Principal Research Scientist Leo Anthony Celi’s research underscoring the importance of improving the diversity of datasets used to design and test clinical AI systems. “The biggest concern now is that the algorithms that we’re building are only going to benefit the population that’s contributing to the dataset,” says Celi. “And none of that will have any value to those who carry the biggest burden of disease in this country, or in the world.”
MIT researchers and two high school seniors have developed DualFair, a new technique for removing bias from a mortgage lending dataset, reports Hiawatha Bray for The Boston Globe. “When a mortgage-lending AI was trained using DualFair and tested on real-world mortgage data from seven US states,” writes Bray, “the system was less likely to reject applications of otherwise qualified borrowers because of their race, sex, or ethnicity.”
Prof. Jessika Trancik speaks with Wall Street Journal reporter Nidhi Subbaraman about the dramatic drops in costs to manufacture and sell renewable technologies. Subbaraman notes that Trancik’s research shows that “the steep drop in solar and lithium-ion battery technology was enabled by market expansion policies as well as investment in research and development by governments and the private sector.”
The MIT AI Hardware Program seeks to bring together researchers from academia and industry to “examine each step of designing and manufacturing the hardware behind AI-powered technologies,” reports Emily Bamforth for EdScoop. “This program is about accelerating the development of new hardware to implement AI algorithms so we can do justice to the capabilities that computer scientists are developing,” explains Prof. Jesús del Alamo.
Using cellulose nanocrystals found in trees, MIT researchers have developed a new material that is both tough and strong, reports Kathryn Hulick for Science News for Students. Abhinav Rao PhD ’18 explains that he was inspired to create the material “by looking at what nature has to teach us.”
A study conducted by Prof. Susan Solomon and her colleagues has found that unlike CFCs, smoke destroys the ozone in a more roundabout way, creating concerns due to the impact of the Australian bushfires of 2019-2020, reports Krystal Vasquez for EOS. “Because of the sheer scale of the event [the Australian bushfires] massive amounts of smoke penetrated the normally pristine upper stratosphere,” writes Vasquez.
MIT researchers have found five main predictors of attrition: toxic work culture, job insecurity, stressing innovation, not being recognized for performance, and poor response to Covid-19, reports Meghan M. Biro for Forbes. “Everything boils down to valuing your people – and possibly undertaking a bout of serious self-assessment,” writes Biro.
New research by Professor Erik Demaine, lecturer Zachary Abel, robotics engineer Martin Demaine and their colleagues explores whether it is possible to “take any polyhedral (or flat-sided) shape that’s finite (like a cube, rather than a sphere or the endless plane) and fold it flat using creases," writes Rachel Crowell for Quanta Magazine. “By moving finite to infinite ‘conceptual’ slices, they created a procedure that, taken to its mathematical extreme, produced the flattened object they were looking for,” Crowell explains.
Researchers from MIT and other institutions have developed a new simulation that illuminates how stars formed in the early universe, reports Martin Finucane for The Boston Globe. “It was a neutral, dark cosmos that became bright and ionized as light began to emerge from the first galaxies,” explains Aaron Smith, a NASA Einstein Fellow in MIT’s Kavli Institute for Astrophysics and Space Research.
CSAIL researchers have developed a new technique that could enable robots to handle squishy objects like pizza dough, reports Brian Heater for TechCrunch. “The system is separated into a two-step process, in which the robot must first determine the task and then execute it using a tool like a rolling pin,” writes Heater. “The system, DiffSkill, involves teaching robots complex tasks in simulations.”
Boston Globe reporter Michael Blanding spotlights Prof. Hugh Herr’s work with Dr. Matthew Carty in developing a new amputation surgery called agonist-antagonist myoneural interface (AMI) procedure, which reconnects muscles to amplify electrical signals sent along the nerves. “My dream as a scientist is that a person with an arm amputation could play a Beethoven piece at normal speeds and dexterity – and for legs, that a person could dance ballet,” says Herr.
Prof. Jonathan Gruber speaks with Boston Public Radio hosts Jim Braude and Margery Eagan about his latest research on a program designed to increase health care access to immigrants across New York. “We reached out through a variety of mechanisms through non-government organizations through social media and we offered them a program to improve their healthcare. We brought them in and what we did was basically just connect them with doctors,” says Gruber.
The MIT AI Hardware Program is aimed at bringing together academia and industry to develop energy-optimized machine-learning and quantum-computing systems, reports Katyanna Quach for The Register. “As progress in algorithms and data sets continues at a brisk pace, hardware must keep up or the promise of AI will not be realized,” explains Professor Jesús del Alamo. “That is why it is critically important that research takes place on AI hardware."