Computer science and technology

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 creating 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.”

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.”