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."
Mashable reporter Emmett Smith spotlights how MIT researchers have developed a new technique to clear dust from solar panels without using water. The new method uses “electrostatic repulsion, where an electrode that glides above the panel electrically charges dust particles and subsequently repels them.”
MIT researchers have developed a new simulation of the early universe, shedding light onto the period when the first stars were formed, reports Audrey Carleton for Vice. “Using existing models of the early universe and of cosmic dust, matched with new code created to interpret how light and gas interacted with one another, they created a visual depiction of the growth of the universe,” writes Carleton.
Using machine learning techniques, MIT researchers analyzed social media sentiment around the world during the early days of the Covid-19 pandemic and found that the “pandemic precipitated a dramatic drop in happiness,” reports Charlotte Hu for Popular Science. “We wanted to do this global study to compare different countries because they were hit by the pandemic at different times,” explains Prof. Siqi Zheng, “and they have different cultures, different political systems, and different healthcare systems.”
Research engineer Paul Woskov speaks with Bloomberg Radio host Tom Moroney and Joe Shortsleeve about his work with Quaise Energy in developing a laser to drill holes into the earth. “There is a lot of heat contained within our planet. The amount of heat that is present, if tapped, could supply all of our energy needs for several million years,” says Woskov.
A new report co-authored by Lecturer Eric Robsky Huntley has found that tenants in predominately nonwhite neighborhoods are nearly twice as likely to face eviction than renters in mostly white areas, reports Chris Lisinski for WBUR. “Our takeaway here is that we really have to act now,” says Huntley. “Ensuring an equitable recovery is a critical first step toward securing safe and stable homes for all.”
A campaign led by RRS Discovery, and Prof. Raffaele Ferrari has found that deep-ocean water rises due to the turbulence created by undersea mountains, reports Paul Voosen for Science. “The turbulence that was found tended to grow with depth. Like a spoon stirring milk into coffee, it was driving water down, not up, says Ferrari,” writes Voosen.
Fortune reporter Jeremy Kahn spotlights a study co-authored by Prof. Marzyeh Ghassemi exploring issues associated with “explainable” AI systems that are being applied in fields such as healthcare, finance and government. The researchers explain that those using such systems “might have misunderstood the capabilities of contemporary explainability techniques—they can produce broad descriptions of how the AI system works in a general sense but, for individual decisions, the explanations are unreliable or, in some instances, only offer superficial levels of explanation.”