Data

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.” 

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.”

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.” 

Prof. Sara Beery spoke at TED Radio Hour about her work developing Inquire, an AI tool aimed at supercharging ecosystem conservation that is trained on millions of photos captured by citizen scientists, reports GBH. “Under the hood, what we’re doing is we’re developing AI models that can learn and understand similarities between images and scientific language,” explains Beery. 

Wall Street Journal reporters Robbie Whelan and Amrith Ramkumar spotlight Lisa Su '90, SM '91, PhD '94, chair and CEO of Advanced Micro Devices, and her impact leading the company into the center of the global AI race. “At the heart of Su’s strategy is her belief that there is ‘insatiable demand’ for computing power, and that as the market for AI grows, the companies offering the best and most reliable AI infrastructure will thrive,” they write. 

Wall Street Journal reporter Angel Au-Yeung spotlights Anysphere, an AI startup founded by Michael Truell '21, Sualeh Asif '22, Arvid Lunnemar '22, and Aman Sanger '22. “The company makes an AI tool that learns a developer’s coding style to help autocomplete, edit and review lines of code,” writes Au-Yeung. 

Michael Truell '21, Sualeh Asif '22, Arvid Lunnemar '22, and Aman Sanger '22 co-founded Anysphere, an AI startup developing Cursor, an AI coding tool that “allows engineers to use AI models from OpenAI, Anthropic, Google and xAI to write and edit entire chunks of code as well as identify and fix bugs,” reports Rashi Shrivastava for Forbes. 

Prof. Stuart Madnick speaks with Miami Herald reporter Michelle Marchante about online phishing schemes. Madnick explains that while IP addresses can sometimes give a general idea of where a person was when they went online, it’s not a foolproof way to determine their exact location. He adds that anyone can buy a URL and redirect it to another website. 

New York Times reporter Annabel Keenan highlights the “Remembering the Future” exhibit at the MIT Museum, a sculptural installation created by Janet Echelman that uses “climate data from the last ice age to the present, as well as projected future environments, to create a geometric design.” Echelman worked with MIT faculty, including Prof. Raffaele Ferrari and Prof. Caitlin Mueller, to bring the project to life. Mueller explains that she developed a “high-fidelity digital twin of the sculpture generated through our computational simulation that you can orbit and pan through to get perspectives that you can’t see physically in the space.” 

Prof. Stuart Madnick speaks with Wailin Wong and Cooper Katz McKim of Planet Money about the growing problem of data breaches in the U.S., noting how AI is feeding into the problem. “We've seen several examples of how cyber attacks have been greatly accelerated due to AI tools,” Madnick explains. 

Prof. Steve Leeb and graduate student Daniel Monagle speak with Tech Briefs reporter Edward Brown about their work “designing an energy management interface between an energy harvesting source and a sensor load that will give the best possible results.” Monagle notes that in the future they hope to make the system “smaller so that it can fit in tight places like inside a motor terminal box. But beyond that we want to take advantage of AI tools to design techniques for minimizing the energy used by the system.” 

Noman Bashir, a fellow with MIT’s Climate and Sustainability Consortium, speaks with Smithsonian Magazine reporter Amber X. Chen about the impact of AI data centers on the country’s electric grid and infrastructure. Bashir notes “that the industry’s environmental impacts can also be seen farther up the supply chain,” writes Chen. “The GPUs that power A.I. data centers are made with rare earth elements, the extraction of which Bashir notes is resource intensive and can cause environmental degradation.” 

Vana, an MIT startup, is developing an app “that works like a wallet for personal data that can be used to train AI,” reports Megan Morrone for Axios. “Vana hopes people will use the app to control and pool their own data with others, shape how it’s used and share in the value it creates,” writes Morrone. 

Writing for Nature, Prof. Danielle Wood makes the case that both public and commercial satellite missions are needed to understand and protect the environment. “Although commercial companies have much to offer, the public sector must still lead the design, operation and management of satellites, and remain committed to tracking changes on Earth comprehensively, openly and transparently,” Wood writes. 

Noman Bashir, a fellow with MIT's Climate and Sustainability Consortium, speaks with AP reporter Caleigh Wells about how new AI data centers are impacting the country’s energy grid. “Since we are trying to build data centers at a pace where we cannot integrate more renewable energy resources into the grid, most of the new data centers are being powered by fossil fuels,” says Bashir.