Research

Aaron Leanhardt PhD '03 has developed a new baseball bat that has “moved the fattest part from the end to the area where most contact is made,” reports Steve Henson for The Los Angeles Times.

Aaron Leanhardt PhD '03 speaks with The Athletic reporter Brendan Kuty about his work developing a new “torpedo-like” baseball bat. The bats “are custom-made to player preferences and are designed so that the densest part of the bat is where that particular hitter most often makes contact with the baseball,” writes Kuty. Says Leanhardt of the bat’s design: “It’s just about making the bat as heavy and as fat as possible in the area where you’re trying to do damage on the baseball.” 

MIT researchers have observed “Hofstadter’s butterfly” – the quantum theory that proposes “under the right conditions, tiny electrons in a quantum system could produce an energy spectrum composed of fractals” that would resemble a butterfly, reports Gayoung Lee for Scientific American. The discovery, “emerged from the complex quantum dance of electrons sandwiched between two microscopic layers of graphene,” explains Lee. The results “were unexpected [as] the researchers involved weren’t even trying to hatch Hofstadter’s butterfly from its quantum chrysalis.” 

Boston Magazine reporter Wyndham Lewis spotlights the MIT AgeLab, where researchers are focused on making aging better by studying age-related issues so “products can be modified accordingly for older people, allowing them to do the things they’ve always done." AgeLab Director Joseph Coughlin explains: “MIT is about envisioning and inventing the future. I want the AgeLab to write a new narrative of a 100-year life.” He adds that it’s about “setting the agenda for what 100 good years could be.”

Rachel Feltman of Scientific American’s “Science Quickly” podcast visits MIT.nano to learn more about MIT’s “clean laboratory facility that is critical to nanoscale research, from microelectronics to medical nanotechnology.” Prof. Vladimir Bulović, director of MIT.nano, explains: “Maybe a fifth of all of M.I.T.’s research depends on this facility…from microelectronics to nanotechnology for medicine to different ways of rethinking what will [the] next quantum computation look like. Any of these are really important elements of what we need to discover, but we need all of them to be explored at the nanoscale to get that ultimate performance.” 

Prof. David Sontag, Monica Agrawal PhD '23, Luke Murray SM '22, and Divya Gopinath '19, MEng '20 co-founded Layer Health - an AI healthcare startup that is applying large language models (LLMs) to help clinicians with medical chart reviews and data abstraction, reports Seth Joseph for Forbes. “The same chart review problem we’re solving with our clinical registry module is faced by clinicians at the point of care,” says Sontag. “For example, one of our next modules will focus on real-time clinical decision support to help automate clinical care pathways, leading to more reliable, high-quality care."

A new study by researchers at MIT and elsewhere explores “children’s exploitation of language ‘loopholes’ — instances in which kids technically do what adults ask of them but completely violate the true intent of the request,” reports Charlotte Hu for Scientific American. “Sometimes you don’t want to cooperate, but it might feel risky to outright refuse,” explains former postdoc Sophie Bridgers. “We started to be curious about the strategies [kids] used to handle this tension.” 

Prof. Erik Demaine and his colleagues have solved a longstanding mathematical puzzle called “Dudeney’s dissection,” which involves dissecting an equilateral triangle into the smallest number of pieces that could be rearranged into a square, reports Lyndie Chiou for Scientific American. “Each of those pieces could have arbitrarily many edges to it, and the coordinates of those cuts start at arbitrary points,” says Demaine, of what makes the puzzle so challenging. “You have these continuous parameters where there’s lots and lots of infinities of possible choices that makes it so annoyingly hard. You can’t just brute-force it with a computer.”

A new study by researchers at MIT explores how AI chatbots can impact people’s feelings and mood, reports Matthew Gault for Gizmodo. “One of the big takeaways is that people who used the chatbots casually and didn’t engage with them emotionally didn’t report feeling lonelier at the end of the study,” explains Gault. “Yet, if a user said they were lonely before they started the study, they felt worse after it was over.”

Researchers at MIT and elsewhere have found that “heavy users of ChatGPT tend to be lonelier, more emotionally dependent on the AI tool and have fewer offline social relationships,” reports Rachel Hall for The Guardian. “The researchers wrote that the users who engaged in the most emotionally expressive personal conversations with the chatbots tended to experience higher loneliness – though it isn’t clear if this is caused by the chatbot or because lonely people are seeking emotional bonds,” explains Hall. 

Graduate student Cathy Fang speaks with CBS News reporter Lindsey Reiser about her research studying the effects of AI chatbots on people’s emotional well-being. Fang explains that she and her colleagues found that how the chatbot interacts with the user is important, “but also how the user interacts with the chatbot is equally important. Both influence the user’s emotional and social well-being.” She adds: “Overall, we found that extended use is correlated with more negative outcomes.”

MIT researchers have developed a method to grow artificial muscle tissue that twitches and flexes in multiple, coordinated directions, and could be useful for building “biohybrid” robots, reports Andrew Corselli for Tech Briefs. Prof. Ritu Raman explains that her lab is focused on creating “artificial muscle tissues that can be used to understand and treat muscle diseases that impact healthy human mobility,” and making “safe muscle-powered robots that can perform complex tasks in dangerous environments that are not suitable for humans.”

MIT researchers have developed a “simple way to administer long-acting drug delivery systems without the need for invasive procedures – an appealing prospect for parts of the world with poor medical infrastructure,” reports Nicola Davis for The Guardian. “It’s suitable for any poorly soluble hydrophobic drug, especially where long-acting delivery is needed,” says Prof. Giovanni Traverso, “This includes treatments for HIV, TB, schizophrenia, chronic pain, or metabolic disease​.” 

Researchers at MIT and elsewhere have found “that frequency chatbot users experience more loneliness and emotional dependence,” reports Beatrice Nolan for Fortune. “The studies set out to investigate the extent to which interactions with ChatGPT impacted users’ emotional health, with a focus on the use of the chatbot’s advanced voice mode,” explains Nolan.