Computer science and technology

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.”

MIT scientists have created a new tool that can improve robotic wearables, reports Danica D’Souza for Mashable. “The tool provides a pipeline for digital creating pneumatic actuators – devices that power motion with compressed air in many wearables and robotics,” writes D’Souza.

CSAIL researchers have developed a robotic glove that utilizes pneumatic actuation to serve as an assistive wearable, reports Brian Heater for TechCrunch. “Soft pneumatic actuators are intrinsically compliant and flexible, and combined with intelligent materials, have become the backbone of many robots and assistive technologies – and rapid fabrication with our design tool can hopefully increase ease and ubiquity,” says graduate student Yiyue Luo.

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.

TechCrunch reporter Kyle Wiggers spotlights how MIT researchers have developed a new computer vision algorithm that can identify images down to the individual pixel. The new algorithm is a “vast improvement over the conventional method of ‘teaching’ an algorithm to spot and classify objects in pictures and videos,” writes Wiggers.

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.”

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.”

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.”

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.”

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.