Computer science and technology

“AT MIT innovation ranges from awe-inspiring technology to down-to-earth creativity,” notes Chronicle during a visit to campus to peek behind the scenes at the innovations underway at the Institute. Classes taught by Prof. Erik Demaine are a “mix of rigorous math and creative collaboration,” host Anthony Everett explains, highlighting how Demaine’s work in computational origami has found its way into practical applications in such fields as medicine, architecture and space exploration. “I think origami provides a really powerful tool for making transformable shapes,” Demaine relates. 

Chronicle visits Prof. Skylar Tibbits and the Self-Assembly Lab to see how they are embedding intelligence into the materials around us, including furniture, clothing and buildings. Prof. Caitlin Mueller and graduate student Sandy Curth are digging into eco-friendly construction with programmable mud by “taking a low-cost material and a really fast manufacturing system to make buildings out of very, very low climate impact materials.” Says Tibbits: “MIT is a really wild place, and most people know of it for its technical expertise…But what I am really inspired by is on the creative end, the design spectrum. I think the mix of those two is super special.” He adds: “We can ask the right questions and discover new science, and we can also solve the right problems through engineering.”

Prof. Pulkit Agrawal speaks with NPR Short Wave host Regina Barber and science correspondent Geoff Brumfiel about his work developing a new technique that allows robots to train in simulations of scanned home environments. “The power of simulation is that we can collect very large amounts of data,” explains Agrawal. “For example, in three hours' worth of simulation, we can collect 100 days' worth of data.” 

Boston Magazine reporter Wyndham Lewis spotlights the MIT AgeLab, where researchers are focused on making aging better by studying age-related issues so “products can be modified accordingly for older people, allowing them to do the things they’ve always done." AgeLab Director Joseph Coughlin explains: “MIT is about envisioning and inventing the future. I want the AgeLab to write a new narrative of a 100-year life.” He adds that it’s about “setting the agenda for what 100 good years could be.”

Rachel Feltman of Scientific American’s “Science Quickly” podcast visits MIT.nano to learn more about MIT’s “clean laboratory facility that is critical to nanoscale research, from microelectronics to medical nanotechnology.” Prof. Vladimir Bulović, director of MIT.nano, explains: “Maybe a fifth of all of M.I.T.’s research depends on this facility…from microelectronics to nanotechnology for medicine to different ways of rethinking what will [the] next quantum computation look like. Any of these are really important elements of what we need to discover, but we need all of them to be explored at the nanoscale to get that ultimate performance.” 

Prof. David Sontag, Monica Agrawal PhD '23, Luke Murray SM '22, and Divya Gopinath '19, MEng '20 co-founded Layer Health - an AI healthcare startup that is applying large language models (LLMs) to help clinicians with medical chart reviews and data abstraction, reports Seth Joseph for Forbes. “The same chart review problem we’re solving with our clinical registry module is faced by clinicians at the point of care,” says Sontag. “For example, one of our next modules will focus on real-time clinical decision support to help automate clinical care pathways, leading to more reliable, high-quality care."

CNBC reporter Kif Leswing spotlights Lisa Su '90, SM '91, PhD '94 and her work as CEO of Advanced Micro Devices (AMD). “On Su’s watch, AMD was the first major company to embrace a technology called ‘chiplets,’” writes Leswing. “Instead of manufacturing one big chip with all the elements needed — the compute cores as well as an input and output block — AMD could make smaller chips and then assemble them together.” 

[Originally in Spanish] MIT researchers have developed a new technique to educate robots by increasing human input, reports Uriel Bederman for TN Tecno.  “We can’t expect non-technical people to collect data and fine-tune a neural network model," explains graduate student Felix Yanwei Wang. "Consumers will expect the robot to work right out of the box, and if it doesn’t, they’ll want an intuitive way to customize it. That’s the challenge we’re addressing in this work."

Prof. Behnaz Farahi and her team have created “Gaze to the Stars,” an art installation that features video projections of eyes onto the MIT Dome while sharing stories of aspiration, struggle, longing, and hope, reports Emily Maher for WCVB. “Farahi and her team created a space, a pod, where people looked into a screen of stars as their eyes were scanned,” explains Maher. “Next, an AI voice began encouraging them to share their stories.” 

A new proposal by graduate student Shayne Longpre and other AI researchers suggests “a new scheme supported by AI companies that gives outsiders permission to probe their models and a way to disclose flaws publicly,” reports Will Knight for Wired. “The authors suggest three main measures to improve the third-party disclosure process: adopting standardized AI flaw reports to streamline the reporting process; for big AI firms to provide infrastructure to third-party researchers disclosing flaws; and for developing a system that allows flaws to be shared between different providers,” writes Knight. 

Prof. Behnaz Farahi speaks with WBUR reporter Maddie Browning about her “Gaze to the Stars” exhibit, which will bring illuminated projections of eyes to the MIT Dome. “This is an incredible time to really use art and technology, not to just create something which is provocative, but also have a meaningful experience to share stories that matters,” says Farahi. 

Research Scientist Eva Ponce, director of online education for the MIT Center for Transportation & Logistics, speaks with Financial Times reporter Rafe Uddin about how companies are shifting toward automation and the impact on employees. “Companies are investing more in upskilling associates… ensuring they’re ready for a new style of work,” says Pone. “More complex tasks will still need to be done by people… These technologies are disruptive. The warehouse of the future is a combination of robotics, sensors and computer vision.” 

Researchers from MIT and elsewhere estimate that “while 36% of U.S. private sector jobs were technically ‘exposed’ to automation through computer vision… it would only make economic sense for firms to pursue automation for 8% of all private sector jobs—just a quarter of those jobs labelled ‘exposed,’” report François Candelon, David Zuluaga Martínez and Etienne Cavin for Fortune. 

Prof. Sara Beery speaks with TechCrunch reporter Kyle Wiggers about the use of AI tools in the advancement of science. “Most science isn’t possible to do entirely virtually — there is frequently a significant component of the scientific process that is physical, like collecting new data and conducting experiments in the lab,” explains Beery. 

Prof. Ryan Williams speaks with New Scientist reporter Matthew Sparkes about his finding concerning the relationship between the amount of memory a computation requires and how long it takes, a discovery that has “wowed computer scientists.” Says Williams of the discovery: “It kind of shakes my world view. I’m still just shocked that it even exists.”