Using AI, researchers at MIT have developed new antibiotics for gonorrhoea and MRSA, two infections that are typically hard to treat. The team “trained the AI to help it learn how bacteria was affected by different molecular structures built of atoms in order to design new antibiotics,” writes Ruth Stainer for the Daily Mail. “[A]nything too similar to the current antibiotics available, or with the potential to be toxic to human beings, was eradicated.”
Researchers at MIT used AI to “design antibiotics that can tackle hard-to-treat infections gonorrhoea and MRSA,” reports ITV News. "Our work shows the power of AI from a drug design standpoint, and enables us to exploit much larger chemical spaces that were previously inaccessible,” says Prof. James Collins.
Using generative AI, researchers at MT have designed new antibiotics to combat MRSA and gonorrhea, reports James Gallagher for the BBC. "We're excited because we show that generative AI can be used to design completely new antibiotics," says Prof. James Collins. "AI can enable us to come up with molecules, cheaply and quickly and in this way, expand our arsenal, and really give us a leg up in the battle of our wits against the genes of superbugs."
Prof. Daniela Rus, director of CSAIL, speaks with CBS News reporter Tony Dokoupil about her work developing AI-powered robots. “AI and robots are tools,” says Rus. “They are tools created by the people, for the people. And like any other tools they’re not inherently good or bad; they are what we choose to do with them. And I believe we can choose to do extraordinary things.”
Principal Research Scientist Andrew McAfee speaks with New York Times reporter Steve Lohr about why companies are not yet seeing the economic payoff of AI implementation in the workforce. “It’s not surprising that early A.I. efforts are falling short,” said McAfee. “Innovation is a process of failing fairly regularly.”
Prof. Philip Isola speaks with Fast Company reporter Victor Dey about the impact and use of agentic AI. “In some domains we truly have automatic verification that we can trust, like theorem proving in formal systems. In other domains, human judgment is still crucial,” says Isola. “If we use an AI as the critic for self-improvement, and if the AI is wrong, the system could go off the rails.”
Principal Research Scientist Andrew McAfee speaks with CNBC reporter Robert Frank about the artificial intelligence boom. “It’s astonishing how geographically concentrated this AI wave is,” says McAfee. “The people who know how to found and fund and grow tech companies are there.”
Bloomberg reporter F. D. Flam spotlights postdoctoral associate Pat Pataranutaporn and his research exploring how AI technologies and chatbots can impact human memories. “This latest research should spur more discussion of the effects of technology on our grasp of reality, which can go beyond merely spreading misinformation,” writes Flam. “Social media algorithms also encourage people to embrace fringe ideas and conspiracy theories by creating the false impression of popularity and influence.”
Prof. Regina Barzilay speaks with Newsweek reporter Alexis Kayser about how new AI tools are implemented in health care settings. “You need to know how to safely bring it into the [health care] system," says Barzilay. "There is a new science, which is the science of implementation."
Vijay Gadepally, senior staff member at MIT Lincoln Lab, speaks with New York Times reporter Claire Brown about the impact of AI data centers on the electrical grid. “There’s a lot of things we can do to be better stewards of the power we currently have,” says Gadepally.
A working paper by MIT researchers has found “that the most successful generative AI deployments consistently involve frontline workers from the earliest stages through rollout,” reports Sharon Wu for USA Today. The researchers “demonstrate that when employees help define the problem, co-design workflows, experiment with tools, and shape fair transition policies, not only does adoption improve, but worker productivity and job quality also rise.”
Researchers at MIT have developed a new tool, called Meschers, that allows users to create detailed computer representations of mathematically impossible objects, reports Gayoung Lee for Gizmodo. “In addition to creating aesthetically quirky objects,” Lee explains, “Meschers could eventually assist in research across geometry, thermodynamics, and even art and architecture."
Writing for Physics Today, Prof. Camilla Cattania and her colleagues highlight the impact of big data and AI advancements in improving the reliability of earthquake forecasting and prediction. “Advances in technology and data analysis, particularly the incorporation of AI techniques, are driving the development of more-sophisticated forecasting models,” they write. “Advances in sensor technology and the expansion of dense seismic networks are providing new insight into the dynamics of Earth’s crust. That wealth of data enables the creation of more detailed and nuanced forecasting models that better capture the complexities of earthquake processes.”
A study by researchers at MIT has found that “pedestrians are walking 15 percent faster and stopping to linger 14 percent less than they used to,” reports Rima Sabina Aouf for Dezeen. “Using computer vision and artificial intelligence to analyze videos of four public spaces across three American cities, the study found that walking speeds rose notably between 1980 and 2010, while instances of people lingering or interacting with others fell,” writes Aouf.
Researchers at MIT have found that “pedestrians in three major northeastern U.S. cities – Boston, New York and Philadelphia —are moving 15 percent faster than they did in 1980,” reports Lucy Notarantonio for Newsweek. Notarantonio explains that: “The researchers hope their work will inform how cities design and redesign public areas — especially at a time when digital polarization is reshaping how people connect in real life.”