Technology and society

Prof. Jessika Trancik speaks with Forbes contributor Peter Cohan about the carbon emissions associated with gas, hybrid and electric vehicles, and the site she and her research group developed to allow consumers to compare personal vehicles against climate change mitigation targets. “In most locations, compared to [gas-powered vehicles], EVs produce emissions savings greater than 30%,” says Trancik. "Most savings are greater depending on the geographic location, the electricity supply, and the vehicle model.”

Prof. Catherine Elizabeth Tucker speaks with BBC host Ed Butler about her research on effective online advertising. “It turns out that all too often it is not working as well as we were led to believe,” says Tucker.

The Boston Globe honored a number of MIT faculty and alumni in their Tech Power Players 50, a list of the “most influential – and interesting – people in the Massachusetts technology scene.” MIT honorees include Professor Yet-Ming Chiang, Senior Lecturer Brian Halligan, Professor Tom Leighton, Professor Silvio Micali, Katie Rae (CEO and managing partner for The Engine), and Professor Daniela Rus (director of CSAIL and deputy dean of research for the MIT Schwarzman College of Computing). 

Boston Globe reporter Aaron Pressman spotlights the work of Prof. Silvio Micali, who has been honored as one of The Boston Globe’s Tech Power Players 50 for his work in computer science and cryptography. “Micali decided to come up with a more elegant version of the underlying [cryptocurrency] technology, the public database of transactions known as the blockchain,” writes Pressman. “He formed a new startup, Algorand, to pursue a blockchain that would go far beyond bitcoin while reducing costs and electricity usage and speeding up transaction processing.”

Overjet, co-founded by Wardah Inam SM ’12 PhD ’16, has been awarded landmark clearance from the Food and Drug Administration to use their software aimed at detecting and outlining cavities in patients’ X-rays, reports Alexandra S. Levine for Forbes. “Everybody has had a dental disease,” says Inam. “People have had good and bad experiences. And moving the industry towards making [a] more clinically precise, efficient patient focus is something that will impact every person in the world.”

An international team of scientists, including researchers from MIT and Harvard, have found that an artificial intelligence program trained to read X-rays and CT scans can successfully predict a person’s race with 90 percent accuracy, reports Hiawatha Bray for The Boston Globe. "The research effort was born when the scientists noticed that an AI program for examining chest X-rays was more likely to miss signs of illness in Black patients," writes Bray.

Eureka Robotics, an automation company based in Singapore, has developed their products based on research from MIT and Nanyang Technological University, reports Catherine Shu for TechCrunch. “It [Eureka Robotics] focuses on robotic software and systems to automate tasks that require High Accuracy and high Agility (HAHA),” writes Shu. “Its robots are used for precision handling, assembly, inspection, drilling and other tasks.”

Graduate student Anna Waldman-Brown writes for Wired about the future of automation technology and how it can impact labor dynamics in the future. “While some scholars believe that our fates are predetermined by the technologies themselves, emerging evidence indicates that we may have considerable influence over how such machines are employed within our factories and offices – if we can only figure out how to wield this power,” writes Waldman-Brown.

Fast Company reporter Connie Lin spotlights how Algorand, an MIT startup founded by Prof. Silvio Micali, dimmed the lights in Times Square on April 21 to help conserve energy and demonstrate how cryptocurrency could reduce energy consumption. Algorand has developed a carbon-negative blockchain protocol and “utilizes a pure proof-of-stake consensus mechanism to verify authentic transactions.”

Prof. Jessika Trancik speaks with ABC News about the urgent need to transition to renewable energy sources, and how we can build a future powered by alternative energy. “Up until recently there were really significant questions about whether we could transition to another [energy] foundation,” says Trancik. “This question has now been answered in that we now have cost competitive renewable primary energy in the form of solar and wind energy and also in other types of renewable energy.”

Boston Globe reporter Robert Weisman spotlights how researchers at the MIT AgeLab are “designing prototypes of ‘smart homes’ for older residents, equipped with social robots, voice-activated speakers that give medication reminders, motion sensors embedded in carpets to detect falls, and intelligent doorbells that double as security cameras.”

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.”

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.

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."