Prof. Giovanni Traverso and his colleagues have developed a new device, inspired by sea creatures, that can deliver drugs orally by using jets to “eject drugs into the tissue lining the digestive tract, reports Anil Oza for STAT. “We want to make it easier for patients to receive medication,” says Traverso. “The challenge with drugs like insulin and monoclonal antibodies is that they require an injection. That in and of itself can be a barrier for receiving that medication.”
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.
TSP Smart Spaces, a home automation company founded by Michael Oh '95 has been named to Boston Magazine’s Best of Boston Home 2025 list, reports Jaci Conry, Cheryl Fention, Marni Elyse Katz, Angela Athena Mats, and Stefanie Schwalb for Boston Magazine. TSP Smart Spaces uses “the ideal technology solutions while simultaneously making the user experience simple, comprehensive, and value-driven ensures even the most tech-hesitant homeowner feels automatically savvy,” they write.
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.”
Neural Magic, an AI optimization startup co-founded by Prof. Nir Shavit and former Research Scientist Alex Matveev, aims to “process AI workloads on processors and GPUs at speeds equivalent to specialized AI chips,” reports Kyle Wiggers for TechCrunch. “By running models on off-the-shelf processors, which usually have more available memory, the company’s software can realize these performance gains,” explains Wiggers.
Researchers at MIT have developed a robot capable of assembling “building blocks called voxels to build an object with almost any shape,” reports Alex Wilkins for New Scientist. “You can get furniture-scale objects really fast in a very sustainable way, because you can reuse these modular components and ask a robot to reassemble them into different large-scale objects,” says graduate student Alexander Htet Kyaw.
Michael Truell '21, Sualeh Asif '22, Arvid Lunnemar '22, and Aman Sanger '22 co-founded Anysphere, an AI startup working on developing Cursor, an AI-powered coding assistant, reports Marina Temkin for TechCrunch.
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.”
Lithios, a startup cofounded by Mohammad Alkhadra PhD '22 and Prof. Martin Bazant, is developing “a clean and relatively cheap way to access vast amounts of lithium,” reports Hiawatha Bray for The Boston Globe. “Lithios has developed a lithium-absorbing material that can be made into electrodes using the same technologies created to make electrodes for lithium-ion batteries,” explains Bray.
Graduate student Aruna Sankaranarayanan speaks with Mashable reporter Cecily Mauran the impact of political deepfakes and the importance of AI literacy, noting that the fabrication of important figures who aren’t as well known is one of her biggest concerns. “Fabrication coming from them, distorting certain facts, when you don’t know what they look like or sound like most of the time, that’s really hard to disprove,” says Sankaranarayanan.
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.”
Postdoctoral associate Stewart Isaacs SM ’19 PhD ’24 speaks with Physics Today reporter Toni Feder about his passion for the sport of jump roping, research into solar-powered egg incubators for use in West Africa, and his work at MIT focused on addressing climate change and social inequities through the development of clean energy systems. “In jump rope, you have the basic building blocks of tricks. You need to combine them in ways that look interesting and are creative and fun to do. In engineering, you have the basic building blocks of physics. When you need to solve a problem, you need to come up with a creative solution to get there,” says Isaacs of the intersection between jump roping and scientific research. “And jump rope is hard. To be really good at it takes a lot of effort. The habits of working hard and problem-solving are also very useful in engineering.”