Electrical engineering and computer science (EECS)

Graduate student Yi-Hsuan (Nemo) Hsiao and City University of Hong Kong Prof. Pakpong Chirarattananon have developed a “hopping robot that can leap over tall obstacles and jump across slanted or uneven surfaces, while using far less energy than an aerial robot,” writes Andrew Corselli for Tech Briefs Magazine. “One of the biggest challenges is our robot is still connected with a power cable,” explains Hsiao. “I think going into power autonomy — which means we carry a battery and a sensor onboard — will be the next step. And this robot has really opened the opportunities for us to do that.”

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.”

“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. 

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.” 

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."

Prof. Erik Demaine and his colleagues have solved a longstanding mathematical puzzle called “Dudeney’s dissection,” which involves dissecting an equilateral triangle into the smallest number of pieces that could be rearranged into a square, reports Lyndie Chiou for Scientific American. “Each of those pieces could have arbitrarily many edges to it, and the coordinates of those cuts start at arbitrary points,” says Demaine, of what makes the puzzle so challenging. “You have these continuous parameters where there’s lots and lots of infinities of possible choices that makes it so annoyingly hard. You can’t just brute-force it with a computer.”

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.” 

Venti Technologies – a company co-founded by MIT researchers and alumni – has been named one of the most innovative companies in the Asia-Pacific region for Fast Company’s 2025 roundup of top companies, reports Katerina Barton. The company focuses “on autonomous technologies for industrial use—specifically in low-speed environments like ports, airports, and warehouses,” explains Barton. “The company’s suite of special-purpose algorithms is designed to optimize cargo container transportation and works with a wide range of vehicles, allowing the AI-enabled technology to move varying weight loads and distances through complex spaces and changing routes.” 

[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."

MIT has been named among the top-performing intuitions in the QS World University Rankings by Subject 2024, reports The Economic Times. MIT ranks “first in 12 subjects, maintaining its stronghold in fields like engineering, technology, and computer science,” explains Economic Times. 

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. 

MIT scientists have developed a new programmable fiber that can be stitched into clothing to help monitor the wearer’s health, reports Stephen Beech for FOX 28 News. “The gear has been tested by U.S. Army and Navy personnel during a month-long winter research mission to the Arctic,” Beech notes. 

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.”