MIT Schwarzman College of Computing

Prof. Daron Acemoglu and Prof. Simon Johnson, recipients of the 2024 Nobel Prize in economics, join Boston Public Radio to discuss their research examining the role of institutions in creating shared prosperity. “For the longer-term health of the U.S. economy,” says Acemoglu, “there’s probably nothing more important than its institutions. If any president, any politician, any party damages those institutions, that’s the first thing we should focus on.” Johnson adds: “Democracy has to deliver on shared prosperity. Otherwise people get very annoyed and they question the system.”

Forbes contributor Michael T. Nietzel spotlights the newest cohort of Rhodes Scholars, which includes Yiming Chen '24, Wilhem Hector, Anushka Nair, and David Oluigbo from MIT. Nietzel notes that Oluigbo has “published numerous peer-reviewed articles and conducts research on applying artificial intelligence to complex medical problems and systemic healthcare challenges.” 

Yiming Chen '24, Wilhem Hector, Anushka Nair, and David Oluigbo have been named 2025 Rhodes Scholars, report Brian P. D. Hannon and John Hanna for the Associated Press. Undergraduate student David Oluigbo, one of the four honorees, has “volunteered at a brain research institute and the National Institutes of Health, researching artificial intelligence in health care while also serving as an emergency medical technician,” write Hannon and Hanna.

Researchers at MIT have developed a new AI model capable of assessing a patient’s risk of pancreatic cancer, reports Erez Meltzer for Forbes. “The model could potentially expand the group of patients who can benefit from early pancreatic cancer screening from 10% to 35%,” explains Meltzer. “These kinds of predictive capabilities open new avenues for preventive care.” 

Craft in America visits Prof. Erik Demaine and Martin Demaine of CSAIL to learn more about their work with computational origami. “Computational origami is quite useful for the mathematical problems we are trying to solve,” Prof. Erik Demaine explains. “We try to integrate the math and the art together.”

Researchers at MIT have developed a “new type of transistor using semiconductor nanowires made up of gallium antimonide and iridium arsenide,” reports Alex Knapp for Forbes. “The transistors were designed to take advantage of a property called quantum tunneling to move electricity through transistors,” explains Knapp. 

Researchers at MIT have developed a new virtual training program for four-legged robots by taking “popular computer simulation software that follows the principles of real-world physics and inserting a generative AI model to produce artificial environments,” reports Jeremy Hsu for New Scientist. “Despite never being able to ‘see’ the real world during training, the robot successfully chased real-world balls and climbed over objects 88 per cent of the time after the AI-enhanced training,” writes Hsu. "When the robot relied solely on training by a human teacher, it only succeeded 15 per cent of the time.”

Researchers at MIT have developed a new model for training robots dubbed Heterogeneous Pretrained Transformers (HPT), reports Brain Heater for TechCrunch. The new model “pulls together information from different sensors and different environments,” explains Heater. “A transformer was then used to pull together the data into training models. The larger the transformer, the better the output. Users then input the robot design, configuration, and the job they want done.” 

MIT researchers have developed a new training technique called Heterogeneous Pretrained Transformers (HPT) that could help make general-purpose robots more efficient and adaptable, reports Christopher Isak for TechAcute. “The main advantage of this technique is its ability to integrate data from different sources into a unified system,” explains Isak. “This approach is similar to how large language models are trained, showing proficiency across many tasks due to their extensive and varied training data. HPT enables robots to learn from a wide range of experiences and environments.” 

Prof. Simon Johnson, one of the recipients of the 2024 Nobel Prize in economics, speaks with Times Higher Education reporter Jack Grove about his journey from a childhood in Sheffield as the son of a screw manufacturer to studying for his PhD at MIT and serving as chief economist at the International Monetary Fund. Speaking about how to help ensure AI is used to benefit society and workers, Johnson explains: “Big tech doesn’t like us, but we need a plan for this, and the role of economists like us is to get ideas like this out there so they can be hammered out in the policy world.”

MIT researchers have developed a security protocol that utilizes quantum properties to ensure the security of data in cloud servers, reports Andrew Corselli for Tech Briefs. “Our protocol uses the quantum properties of light to secure the communication between a client (who owns confidential data) and a server (that holds a confidential deep learning model),” explains postdoc Sri Krishna Vadlamani. 

Liquid AI, an MIT startup, is unveiling a new AI model based on a liquid neural network that “has the potential to be more efficient, less power-hungry, and more transparent than the ones that underpin everything from chatbots to image generators to facial recognition systems, reports Will Knight for Wired. 

Prof. Daron Acemoglu, a recipient of the 2024 Nobel Prize in economic sciences, speaks with CNBC about the challenges facing the American economy. Acemoglu notes that in his view the coming economic storm is really “both a challenge and an opportunity,” explains Acemoglu. “I talk about AI, I talk about aging, I talk about the remaking of globalization. All of these things are threats because they are big changes, but they’re also opportunities that we could use in order to make ourselves more productive, workers more productive, workers earn more. In fact, even reduce inequality, but the problem is that we’re not prepared for it.” 

Researchers at MIT have demonstrated “fully 3D-printed semiconductor-free resettable fuses,” reports Jesse Allen for Semiconductor Engineering. “The researchers plan to further develop the technology to print fully functional electronics and aim to fabricate a working magnetic motor using only extrusion 3D printing,” writes Allen. 

Graduate student Nouran Soliman speaks with NBC Boston about the use of “personhood credentials,” a new technique that can be used to verify online users as human beings to help combat issues such as fraud and misinformation. “We are trying to also think about ways of implementing a system that incorporates personal credentials in a decentralized way,” explains Soliman. “It's also important not to have the power in one place because that compromises democracy.”