Artificial intelligence

Evan Ehrenberg PhD '16 co-founded Waterlily, a company that “uses artificial intelligence to predict a family’s future long-term care needs and costs” with the right care and financial planning, reports Mary Ann Azevedo for TechCrunch. “Ehrenberg — who had previously founded and sold Clara Health — helped with early research and was struck by the industry’s response,” writes Azevedo. “Curious, he tested the platform and was shocked by his long-term care predictions — so much so that he changed his diet, hired a personal trainer, and updated his financial plans.” 

In an article for The New York Times, Prof. Pranav Rajpurkar of Harvard and Prof. Eric J. Topol of Scripps highlight a recent study by MIT researchers that examined “how radiologists diagnose potential diseases from chest X-rays.” They write that the study’s findings “broadly indicate that right now, simply giving physicians A.I. tools and expecting automatic improvements doesn’t work. Physicians aren’t completely comfortable with A.I. and still doubt its utility, even if it could demonstrably improve patient care.”

Postdoctoral Associate Pat Pataranutaporn speaks with Wall Street Journal reporter Heidi Mitchell about his work developing Future You, an online interactive AI platform that “allows users to create a virtual older self—a chatbot that looks like an aged version of the person and is based on an AI text system known as a large language model, then personalized with information that the user puts in.” Pataranutaporn explains: “I want to encourage people to think in the long term, to be less anxious about an unknown future so they can live more authentically today.” 

Former postdoctoral associate Wen Shuhao and postdoctoral fellows Ma Jian and Lai Lipeng co-founded Xtalpi, a biotech startup that “uses AI and quantum physics-based calculations to find suitable structures that are fit for drug making,” reports Zinnia Lee for Forbes. The company plans to expand their technology to other industries such as solar panels and electric vehicle batteries. 

Prof. Pattie Maes speaks with Wired reporter Reece Rogers about the potential benefits and challenges posed by AI agents. “The way these systems are built, right now, they're optimized from a technical point of view, an engineering point of view,” says Maes. “But, they're not at all optimized for human-design issues.” 

Noubar Afeyan PhD '87 and a member of the MIT Corporation speaks with Boston Globe reporter Aaron Pressman about the future of artificial general intelligence (AGI) and “superintelligent” AI. “Humans have long developed tools, microscopes, mass spectrometers, you name it, to help them be able to understand nature better,” says Afeyan. “Now one of the tools, in the case of machine [learning], we’re elevating to the level of a whole new intelligence.”

Ars Technica reporter Jacek Krywko spotlights how MIT researchers have developed a new photonic chip that that can “compute the entire deep neural net, including both linear and non-linear operations, using photons.” Visiting scientist Saumil Bandyopadhyay '17, MEng '18, PhD '23 explains that: “We’re focused on a very specific metric here, which is latency. We aim for applications where what matters the most is how fast you can produce a solution. That’s why we are interested in systems where we’re able to do all the computations optically.” 

Prof. Daron Acemoglu speaks with Financial Times reporter Rana Foroohar about the impact of automation on the labor market. “It’s likely that the short- to midterm gains from AI will be distributed unequally, and will benefit capital more than labor,” says Acemoglu. 

Iqbal Dhaliwal, executive director of the Abdul Latif Jameel Poverty Action Lab (J-PAL), speaks with NPR reporter Ari Daniel about the positive social impact that can be brought forth by AI. "As this technical revolution unfolds in real time," says Dhaliwal, "we have a responsibility to rigorously study how these technologies can help or harm people's well-being, particularly people who experience poverty, and scale only the most effective AI solutions."

Writing for Wired, Prof. Daniela Rus, director of CSAIL, highlights the future of “physical intelligence, a new form of intelligent machine that can understand dynamic environments, cope with unpredictability, and make decisions in real time.” Rus writes: “Unlike the models used by standard AI, physical intelligence is rooted in physics; in understanding the fundamental principles of the real world, such as cause-and-effect.”

Sloan research fellow Michael Schrage speaks with Fortune reporter Sheryl Estrada about the impact of AI on CFO roles. “The ongoing ‘Compound AI’ revolution, which involves approaching AI tasks by combining multiple interacting components, will increasingly transform the CFO role into that of an AI-powered chief capital officer (CCO),” says Schrage. “This is an analytics-driven shift that isn’t optional but imperative for enterprise growth.”

A new study co-authored by Prof. Emeritus Frank Levy that finds chatbot-style artificial intelligence could “fuel a reshaping of the population and labor market map of America,” writes Steve Lohr for The New York Times. Levy and his colleagues found that midsize cities in the Midwest, Mid-Atlantic and South are “well positioned to use AI to become more productive, helping to draw more people to those areas.” 

Knowable Magazine reporter Katherine Ellison spotlights Future You, a new program developed by researchers at MIT that “offers young people a chance to chat with an online, AI-generated simulation of themselves at age 60.” 

Prof. Daron Acemoglu highlights the importance of adopting alternative technologies in the face of AI advancements, reports Jared Newman for Fast Company. “We need investment for alternative approaches to AI, and alternative technologies, those that I would say are more centered on making workers more productive, and providing better information to workers,” says Acemoglu.

Using Cortico, a nonprofit collaboration with the MIT Center for Constructive Communication that aims “to facilitate conversations and spot themes across a large number of conversations,” NPR’s Morning Edition began a new project to learn more about communities, big and small, across the United States. “This project yielded hours and hours of taped conversations,” reports NPR. “So we used Cortico's AI tools and a prototype from MIT to search for shared themes across all the recordings so that we could listen more closely.”