Computer science and technology

Principal Research Scientist Kalyan Veeramachaneni speaks with WBUR On Point host Meghna Chakrabarti about the benefits and risks of training AI on synthetic data. “I think the AI that we have as of today and we are using is largely very small; I don't mean that as in size, but in the tasks that it can do,” says Veeramachaneni. “And as days go by, we are asking more and more of it… that requires us to provide more data, train more models that are much more efficient in reasoning, and can solve problems that we haven't thought of solving.”

Prof. Pattie Maes speaks with Financial Times reporter Cristina Criddle about recent developments aimed at increasing AI memory retention. “The more a system knows about you, the more it can be used for negative purposes to either make you buy stuff or convince you of particular beliefs,” says Maes. “So you have to start thinking about the underlying incentives of the companies that offer these services.” 

Prof. Daniela Rus, director of CSAIL, speaks with Wall Street Journal reporter Isabelle Bousquette about her vision for the future of robots as soft, squishy, flexible and maybe even edible. Bousquette notes that Rus is a “pioneer” in the field of soft robotics and Steve Crowe, chair of the Robotics Summit and Expo, emphasizes: “there’s literally nobody in the world that knows more about this stuff than Daniela Rus.” “I really wanted to broaden our view of what a robot is,” says Rus. “If you have a mechanism that’s made out of paper and that moves, is that a robot or not? If you have an origami flower that you attach to a motor, is that a robot or not? To me, it’s a robot.” 

Neha Narula, director of the MIT Digital Currency Initiative, joins Taylor Wilson of USA Today’s The Excerpt podcast to discuss the future of cash as the use of digital currencies expands. On her vision for the future of money, Narula says, “We’ve had a lot of promise, we’ve had a lot of exciting ideas, but now it’s time to really buckle down and really build products that help users and help make their lives better.” 

Researchers at MIT have conducted a survey to understand how people interact with AI companions, reports David Adam for Nature. The researchers found that 12% [of users] were drawn to the apps to help them cope with loneliness and 14% used them to discuss personal issues and mental health,” writes Adam. “Forty-two per cent of users said they logged on a few times a week, with just 15% doing so every day. More than 90% reported that their sessions lasted less than one hour.” 

Writing for Foreign Affairs, President Emeritus L. Rafael Reif makes the case that “on the battlefield of technology, Americans must both continue to do what they do best and find new ways to improve competitiveness.” Reif explores the United States’ rich history of creating foundational technologies, innovation that frequently stems from research universities. Reif emphasizes: “To avert scientific and technological stagnation, the United States must significantly increase public investments in university-based research, ensure that it capitalizes on discoveries that emerge from academia, and devise sensible immigration policies that allow the world’s best students to study and then work in the United States.”

Prof. Rafael Gómez-Bombarelli speaks with The Atlantic reporter Matteo Wong about the current state of artificial intelligence technologies and how the technology might be used in medical care going forward. “Scientists use the tools that are out there for information processing and summarization,” says Gómez-Bombarelli. “Everybody does that; that’s an established win.” 

Forbes contributor Tracey Follows spotlights how MIT Media Lab researchers are exploring how AI can “support, rather than replace, human flourishing” as part of the Media Lab’s new Advancing Humans with AI (AHA) research program. “We are creating AI and AI in turn will shape us. We don’t want to make the same mistakes we made with social media,” says Prof. Patti Maes. “It is critical that we think of AI as not just a technical problem for engineers and entrepreneurs to solve, but also as a human design problem, requiring the expertise from human-computer interaction designers, psychologists, and social scientists for AI to lead to beneficial impact on the human experience.”

Forbes reporter Tracey Follows spotlights the MIT Media Lab’s Advancing Humans with AI (AHA) project, a “new research program asking how can we design AI to support human flourishing.” At the launch event, Prof. Sherry Turkle “raised a specific and timely concern: what is the human cost of talking to machines that only pretend to care?”

Researchers at MIT have concluded that AI does not develop “value systems” over time, reports Kyle Wiggers for TechCrunch. “For me, my biggest takeaway from doing all this research is to now have an understanding of models as not really being systems that have some sort of stable, coherent set of beliefs and preferences,” says graduate student Stephen Casper. “Instead, they are imitators deep down who do all sorts of confabulation and say all sorts of frivolous things.”

MIT researchers have made a key advance in the creation of a practical quantum computer by demonstrating “remote entanglement—an essential step in building distributed quantum networks—by sending photons between two quantum processors,” reports Military & Aerospace Electronics. “This breakthrough lays the groundwork for large-scale quantum computing networks and could extend to other quantum computing platforms and the quantum internet.”

Graduate students Chuck Downing and Zhichu Ren PhD '24 highlight the potential uses of AI in the research process, reports Amanda Heidt for Nature. “I didn’t know much going in, but I learnt quite a bit, and so I use these deep dives all the time now,” says Downing on using deep-research tools when approaching unfamiliar topics. “It’s better than anything else I’ve used so far at finding good papers and in presenting the information in a way that I can easily understand.”

Researchers at MIT and elsewhere have developed a new robot aimed at assisting first-responders called SPROUT (short for Soft Pathfinding Robotic Observation Unit), reports WHDH. The robot has a built-in camera and motion sensors so that first responders could “scope out a site, before sending rescue teams in to save survivors.” The robot operates with a “soft, air-inflated tube that unfolds into small spaces,” explains WHDH. “It can maneuver around sharp corners in disaster zones.” 

“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.”