Machine learning

Prof. Daniela Rus, director of CSAIL, speaks with Wall Street Journal reporter Isabelle Bousquette about her vision for the future of robots as soft, squishy, flexible and maybe even edible. Bousquette notes that Rus is a “pioneer” in the field of soft robotics and Steve Crowe, chair of the Robotics Summit and Expo, emphasizes: “there’s literally nobody in the world that knows more about this stuff than Daniela Rus.” “I really wanted to broaden our view of what a robot is,” says Rus. “If you have a mechanism that’s made out of paper and that moves, is that a robot or not? If you have an origami flower that you attach to a motor, is that a robot or not? To me, it’s a robot.” 

Jia Haojun PhD '24, graduate student Gao Wenhao and postdoctoral associate James Utama Surjadi have been named to the Forbes 30 and Under 30 Asia: Healthcare & Science list, writes Yue Wang for Forbes. The list honors those “who are using cutting-edge technology to innovative and improve their industry.”

CSAIL Research Scientist Neil Thompson speaks with Wired reporter Will Knight about how new AI systems are developing new algorithms that could be used to help advance scientific research and innovation. “If these capabilities can be used to tackle bigger, less tightly-scoped problems, it has the potential to accelerate innovation—and thus prosperity,” says Thompson.

Prof. Pulkit Agrawal speaks with Darian Woods and Geoff Brumfiel of NPR’s The Indicator from Planet Money about his work developing a simulator that can be used to train robots. “The power of simulation is that you can collect, you know, very large amounts of data,” explains Agrawal. “For example, in three hours', you know, worth of simulation, we can collect 100 days' worth of data.” 

Researchers at MIT have conducted a survey to understand how people interact with AI companions, reports David Adam for Nature. The researchers found that 12% [of users] were drawn to the apps to help them cope with loneliness and 14% used them to discuss personal issues and mental health,” writes Adam. “Forty-two per cent of users said they logged on a few times a week, with just 15% doing so every day. More than 90% reported that their sessions lasted less than one hour.” 

Prof. Rafael Gómez-Bombarelli speaks with The Atlantic reporter Matteo Wong about the current state of artificial intelligence technologies and how the technology might be used in medical care going forward. “Scientists use the tools that are out there for information processing and summarization,” says Gómez-Bombarelli. “Everybody does that; that’s an established win.” 

Prof. Sherry Turkle speaks with New York Times reporter Sopan Deb about how humans interact with artificial intelligence, specifically chatbots such as ChatGPT. “If an object is alive enough for us to start having intimate conversations, friendly conversations, treating it as a really important person in our lives, even though it’s not, it’s alive enough for us to show courtesy to,” says Turkle. 

Prof. David Autor speaks with Financial Times reporter Martin Wolf about the impact of AI on the workforce. “I think [AI] will be quite important, it will be pervasive, it will be transformative in some activities, but I don’t think in general, it’s going to cause an economic implosion of work anytime in the near future,” explains Autor. 

Forbes reporter Cornelia Walther spotlights innovators from MIT Solve’s climate solver teams, which “underscore the power of AI as a catalyst for transforming change across diverse sectors.” The teams illustrate “that when carefully designed and applied, AI can deliver substantial benefits for the environment — improving operational efficiency, cutting waste and even supporting social equity,” writes Walther. 

Forbes reporter Tracey Follows spotlights the MIT Media Lab’s Advancing Humans with AI (AHA) project, a “new research program asking how can we design AI to support human flourishing.” At the launch event, Prof. Sherry Turkle “raised a specific and timely concern: what is the human cost of talking to machines that only pretend to care?”

Researchers at MIT have concluded that AI does not develop “value systems” over time, reports Kyle Wiggers for TechCrunch. “For me, my biggest takeaway from doing all this research is to now have an understanding of models as not really being systems that have some sort of stable, coherent set of beliefs and preferences,” says graduate student Stephen Casper. “Instead, they are imitators deep down who do all sorts of confabulation and say all sorts of frivolous things.”

Graduate students Chuck Downing and Zhichu Ren PhD '24 highlight the potential uses of AI in the research process, reports Amanda Heidt for Nature. “I didn’t know much going in, but I learnt quite a bit, and so I use these deep dives all the time now,” says Downing on using deep-research tools when approaching unfamiliar topics. “It’s better than anything else I’ve used so far at finding good papers and in presenting the information in a way that I can easily understand.”

Prof. Pulkit Agrawal speaks with NPR Short Wave host Regina Barber and science correspondent Geoff Brumfiel about his work developing a new technique that allows robots to train in simulations of scanned home environments. “The power of simulation is that we can collect very large amounts of data,” explains Agrawal. “For example, in three hours' worth of simulation, we can collect 100 days' worth of data.” 

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 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.”