Research

Prof. Sinan Aral speaks with Fast Company reporter Natalie Nixon about the risks of offloading creative work to AI systems. In one study, Aral and his colleagues found that with more creative work outsourced to AI, there was a resulting “slow homogenization of output that occurs when AI, trained on the same publicly available internet, starts flattening the edges that make creative work distinctive.” In another study, Aral’s team found, “cognitive offloading to AI (the act of outsourcing tasks you could do yourself) erodes the very skills you’re handing off.” 

Prof. Daniel Anderson speaks with Mandy Letterii at Medscape about his development of an implantable device for people with diabetes that can dispense islet cells directly into the body to manage blood sugar, which would eliminate the need for insulin injections. “We want to allow people to forget that they have diabetes,” says Anderson. “We’re not there yet, but that’s certainly what we hope to achieve.”

New York Times reporters Gina Kolata and Rebecca Robbins highlight how university researchers at MIT and Harvard laid the groundwork for the development of a new treatment for pancreatic cancer that “could wind up being the most significant advance in cancer treatment in 15 years, since the arrival of immunotherapy.” They write: “In 1982, Robert Weinberg, a scientist at MIT, made one of the seminal discoveries about how RAS genes fuel some cancers.” 

New research co-authored by Prof. Michiel Bakker examines the impact of using AI tools on an individual’s ability to solve a set of math problems, writes Jude Cramer for Fast Company. The researchers found that participants “who asked the AI for direct solutions saw the largest decline in solve rate and the largest increase in skip rate.” 

A new study co-authored by Sloan graduate student Anand Shah explores the growing use of AI across the legal system, reports Chris Stokel-Walker for Fast Company. “The pro se share of all civil cases has been 11% for quite some time,” says Shah. “And then in the post-AI world, we see it jumping all the way up to something like 18%.”

New York Times reporter Melissa Kirsch spotlights a study by MIT scientists that explores how the “sound of rain causes some seeds to germinate faster.”

Sybil, a new AI tool developed by researchers from MIT and Mass General Brigham Cancer Institute, “analyzes a single CT scan and generates a risk score predicting the likelihood of developing lung cancer over a period of up to six years,” reports Ivan Rodriguez for WCVB-TV. “In 2023, researchers reported that Sybil achieved an accuracy rate of 86% to 94% in distinguishing high-risk patients from low-risk patients within a year.”

Joseph Coughlin, director of the MIT AgeLab, speaks with NPR’s Allison Aubrey about his team’s work developing the Longevity Preparedness Index, which is aimed at helping people create a comprehensive plan for aging. “We want to look at all those big and little things that we take for granted in life," Coughlin says. "We may expect things won't change, but when a big life transition comes along — whether it's retiring from a profession, a death or unexpected sickness — many people have unintentionally ignored some of the very decisions that could help us thrive.” 

A new tool developed by MIT researchers could help violin designers test how an instrument might sound when certain dimensions or properties are changed without even pulling out a bow, reports Jennifer Ouellette for Ars Technica. The researchers crafted a virtual violin, “a computer simulation tool that can capture the precise physics of the instrument and even reproduce a realistic sound of a plucked string,” Ouellette explains. 

Cambridge Day reporter Zoe Beketova, a student in MIT’s Graduate Program in Science Writing, visits Prof. Xuanhe Zhao’s lab to get a hands-on look at the group’s ultrasound wristband that can map movements of the human body using sound waves, part of the group’s work aimed at changing “how we gather information from inside the body.” Says Zhao: “The mission of my lab is really merging humans with machines and AI. We believe there’s a huge opportunity [with] this interface.”

Prof. Kate Brown speaks with Zoe Matthews of GBH about growing interest in urban gardening. Matthews highlights Brown’s course about cooperative agriculture at MIT, during which “her students produced an accessible how-to guide on starting an urban farm.” 

Reporting for CNN, Caleb Hellerman spotlights how MIT computer scientists developed an AI program called Sybil that can “‘look’ at a single CT scan and generate a ‘risk score’ corresponding to the likelihood of the person developing cancer over any period up to six years.”

It may sound fishy, but Prof. Benedetto Marelli and postdoc Giorgio Rizzo have developed a method to up-cycle seafood waste into a coating for seeds that could help plants better withstand drought, while also creating more nutritious and sustainable crops. “It all starts with the idea that we need to find new ways to grow food and, in particular, find new ways to decrease the amount of fertilizers we use,” says Marelli.

Prof. Daron Acemoglu joins Slate’s “Money Talks” podcast to explain his research into pro-worker technologies and how we can not only avoid the AI job apocalypse but also improve workers’ lives by shifting the goal of AI from automation to collaboration. “Artificial intelligence is quite different than human intelligence,” says Acemoglu. “And when two things are different, a natural way to combine them is in a complimentary way.”

Prof. Xuanhe Zhao speaks with Tech Briefs reporter Andrew Corselli about his team’s work developing an ultrasound wristband that precisely tracks a wearer’s hand movements in real time and can communicate device these motions to a robot or a virtual environment. “For the future of human society, humanized robots will do lots of different work for us. For that work, we need a dexterous robotic hand,” explains Zhao. “We believe this ultrasound wristband, based on variable imaging, could be the future of really knowing the human hand motions.”