Boston Globe correspondent Scott Kirsner explores the growth of quantum computing from the field's roots “at a 1981 meeting in Dedham, at MIT’s Endicott House conference center.” Bharath Kannan PhD ’22, co-founder and CEO of Atlantic Quantum, notes that if researchers could develop a computer that was natively quantum mechanical, "it would be game-changing for a lot of industries.”
Popular Science reporter Charlotte Hu writes that MIT researchers have developed a new machine learning model that can depict how the sound around a listener changes as they move through a certain space. “We’re mostly modeling the spatial acoustics, so the [focus is on] reverberations,” explains graduate student Yilun Du. “Maybe if you’re in a concert hall, there are a lot of reverberations, maybe if you’re in a cathedral, there are many echoes versus if you’re in a small room, there isn’t really any echo.”
Prof. Emeritus Tim Berners-Lee spoke at Lisbon’s Web Summit conference about Solid, an “open-sourced gambit to reinvent the web through new decentralized privacy-minded tools for wrangling data,” reports Harry McCracken for Fast Company. Solid was originally started as an MIT research project.
Scientists at MIT have developed “a machine learning model that can capture how sounds in a room will propagate through space,” report Kyle Wiggers and Devin Coldewey for TechCrunch. “By modeling the acoustics, the system can learn a room’s geometry from sound recordings, which can then be used to build a visual rendering of a room,” write Wiggers and Coldewey.
MIT researchers have developed a new machine learning model that can identify and track blobs of plasma created in controlled nuclear-fusion research, reports Ed Browne for Newsweek. “Fusion research is a complex, multidisciplinary project that requires technologies from many fields,” explains graduate student Woonghee “Harry” Han.
Prof. Peter Shor has been named one of the winners of the 2023 Breakthrough Prize in Fundamental Physics, reports Nature. “Shor’s most renowned contribution is the development of quantum algorithms for prime number factorization,” writes Nature.
Prof. Daniela Rus, director of CSAIL, speaks with Forbes reporter John Koetsier about the future of robotics. “I have been on a quest to have universal machines,” says Rus. “My idea is to create universal robot cells that could combine to form different types of machines, each with the same capability.”
Writing for The Hill, Prof. Daniela Rus, director of CSAIL, explores how automation could ease the supply chain crisis. “Automation in these settings doesn’t mean replacing employees, but developing more robust inventory management software and using systems like scanners and conveyors that make our jobs easier,” writes Rus. “This would enable warehouse workers to focus on other more detail-oriented roles, from overseeing the operation of forklifts to improving the efficiencies of distribution centers.”
MIT’s mini cheetah robot was taught how to goal keep using simulation, reports Emmett Smith for Mashable. “The robot was able to block 87.5 percent of the shots taken, which is just slightly above the best professional goalies in the English Premiere League,” writes Smith.
In a new paper, MIT researchers detail the use of reinforcement learning to teach MIT’s mini cheetah robot to play goalie in a soccer match, reports Brian Heater for TechCrunch. “In this work, we focused solely on the goalkeeping task, but the proposed framework can be extended to other scenarios, such as multi-skill soccer ball kicking,” the researchers explain.
MIT has been named one of the top 10 best colleges in the United States by U.S. News & World Report, writes Celia Fernandez for CNBC.
In a letter to the editor of The New York Times, Michael Coden, associate director at MIT’s Interdisciplinary Consortium for Improving Critical Infrastructure Cybersecurity, underscores the importance of cyber-resilience rather than cyberprotection. “In contrast to cyberprotection, cyberresilience anticipates that a cyberattack will succeed. It has in place methods for rapid detection, cushioning the effects and quickly restoring systems to their pre-attack state,” writes Coden.
Institute Prof. Barbara Liskov discusses the importance of including ethics and foresight as a key parts of computer science education, reports Susan D'Agostino for Inside Higher Ed. “The days of being naïvely technical, which we were for many years, are over,” says Liskov. “We need to open students’ minds so they think about the harm that can come from what they’re doing and so they ask, ‘What could I add that could act as a safeguard?’ It’s more than ethics. They need to think from a different perspective.”
At MIT’s AI Policy Forum Summit, which was focused on exploring the challenges facing the implementation of AI technologies across a variety of sectors, SEC Chair Gary Gensler and MIT Schwarzman College of Computing Dean Daniel Huttenlocher discussed the impact of AI on the world of finance. “If someone is relying on open-AI, that's a concentrated risk and a lot of fintech companies can build on top of it,” Gensler said. “Then you have a node that's every bit as systemically relevant as maybe a stock exchange."
Prof. Peter Shor and three other researchers have won the Breakthrough Prize in Fundamental Physics for their work in the field of quantum information, reports Martin Finucane for The Boston Globe. Shor “invented the first quantum computer algorithm that was clearly useful. Shor’s algorithm can find the factors of large numbers exponentially faster than is thought to be possible for any classical algorithm,” the Breakthrough Foundation noted in its citation.