A 1927 argument between Albert Einstein and Niels Bohr regarding “one of the core mysteries of quantum physics,” has led multiple scientists, including Prof. Wolfgang Ketterle, to conduct the thought experiments the two scientists developed a century ago to determine if “light [is] really a wave, a particle or a complex mixture of the two,” writes Karmela Padavic-Callaghan for New Scientist.
Addis Energy, a startup co-founded by Prof. Yet-Ming Chiang is using the earth “as a chemical reactor to make ammonia in a cleaner way,” reports Alex Knapp for Forbes. The team identifies “rocky formations underground with large amounts of iron,” explains Knapp. “Then they inject those rocks with water, nitrogen and a chemical catalyst. That causes the oxygen in the water to bind with the iron in the rocks—making rust—freeing the hydrogen, which reacts with nitrogen to form ammonia.”
A new study by MIT researchers has found that “AI chatbots were surprisingly effective at convincing people to vote for a particular candidate or change their support for a particular issue,” reports Alex Wilkins for New Scientist. “Even for attitudes about presidential candidates, which are thought to be these very hard-to-move and solidified attitudes, the conversations with these models can have much bigger effects than you would expect based on previous work,” says Visiting Prof. David Rand.
Prof. Karrie Karahalios has been named to Fast Company’s 2025 “AI 20” list for her work empowering individuals and communities to take a stand against algorithmic overreach, reports Mark Sullivan for Fast Company. “As we build these systems, and they seem to be permeating our society right now, one of my big goals is not to ignore human intuition and not to have people give up agency,” says Karahalios.
Researchers at MIT and elsewhere “examined how popular chatbots could change voters’ minds about candidates in the United States, Canada and Poland,” reports Will Oremus for The Washington Post.
Fortune reporter Orianna Rosa Royle spotlights Luana Lopes Lara '18, co-founder of Kalshi, a company that allows users to bet on the outcome of events, such as “elections, sports matches, and pop culture happenings.” Rosa Royle details Lopes Lara’s journey establishing Kalshi with her co-founder Tarek Mansour ’18, MNG ’19.
Fox Business host Stuart Varney spotlights MIT’s new Artificial Intelligence and Decision Making (AI+D) major, which has quickly become, “the second most popular undergrad major at MIT.”
Luana Lopes Lara ’18 and Tarek Mansour ’18, MNG ’19 co-founded Kalshi, a company that allows “users to bet on the outcome of future events such as elections, sports games and pop culture happenings,” reports Alicia Park for Forbes. Lopes Lara chronicles her journey from her time on stage as a professional ballerina in Austria to her years as a student at MIT to her entrepreneurial ambitions.
Prof. Kevin Chen and his colleagues have designed a tiny, insect-sized aerial microrobot that is “faster and more acrobatic than any of its predecessors,” reports Phie Jacobs for Science. The device, “which measures just 4 centimeters across and weighs less than a paperclip, flies almost five times faster and accelerates twice as quickly as existing microrobots,” explains Jacobs. “It can also execute sharp turns while enduring 160-centimeter-per-second wind gusts and—perhaps most impressively—can complete 10 consecutive somersaults in 11 seconds.”
Researchers at MIT have developed a noninvasive, light-based blood-glucose monitoring system capable of replacing finger pricks and under-the-skin sensors used by patients with diabetes, reports Andrew Paul for Popular Science. The approach could “even fit on a device the size of a watch,” explains Paul. “Each measurement scan takes slightly more than 30 seconds to complete. The device also shows an accuracy comparable to two commercially available, wearable glucose monitors.”
Researchers at MIT are using AI systems to design new molecules for potential antibiotics, research that is “aimed at the growing challenge of antibiotic-resistant infections,” reports Adele Peters for Fast Company. “The number of resistant bacterial pathogens has been growing, decade upon decade,” says Prof. James Collins. “And the number of new antibiotics being developed has been dropping, decade upon decade.”
Prof. Earl Miller speaks with National Geographic reporter Dana Binfet about the impact of increased social media and digital platform use on the brain. “Brain rot is not really rotting our brains,” explains Miller. “It’s constantly creating an environment that our brains are not equipped to deal with—that's the real problem. We’re single-minded creatures and when all this information is coming at us, we want to consume everything and it’s hard to turn off that desire.”
Matt Carey MBA '17 and Greg Charvat, a former visiting researcher at the MIT Media Lab, co-founded TeraDAR, a startup that has developed advanced sensor technology that can see through various weather conditions that often confuse existing car sensors, reports Aaron Pressman for The Boston Globe. “We’re going to the last part of the electromagnetic spectrum that no one has ever been able to build a product at before,” explains Carey. “And instead of being able to see through your hand like an X-ray, we can see through rain and snow and dust and fog.”
New York Times reporter Natasha Singer spotlights MIT’s new Artificial Intelligence and Decision Making major (AI+D), which is aimed at teaching students to “develop AI systems and study how technologies like robots interact with humans and the environment.” Asu Ozdaglar, head of EECS and the deputy dean of academics for the Schwarzman College of Computing, shares that: “Students who prefer to work with data to address problems find themselves more drawn to an AI major.”
Alumnus Jerry Lu and his colleagues have developed OOFSkate, an AI-powered app that can analyze a figure skater’s “jump height, rotation speed, airtime and even landing quality,” reports Dave Skretta for the Associated Press. “Our vision for the system is to automate the technical calling of the sport,” says Lu. “This manifests itself in a combination of using AI-assisted computer vision, but also the knowledge of figure skating, essentially taking out the stuff that should be judged without subjectivity.”