Electrical engineering and computer science (EECS)

Researchers from MIT and Harvard Medical School have conducted a study to see how exercise and high-fat diets can impact cells, reports WCVB. The researchers “say the data could eventually be used to develop drugs that could help enhance or mimic the benefits of exercise,” writes WCVB.

A new study by researchers from MIT and Harvard Medical School has helped identify the impact of exercise and high-fat diets on cells, reports Darren Botelho for NBC Boston 10. “Years from now, those researchers say the data could lead to a pill that would help not only with weight loss, but with the overall effect from exercise – a better wellbeing,” explains Botelho.

Prof. Manolis Kellis speaks with Boston 25 about his team’s work exploring the underlying mechanisms exploring how exercise influences weight loss, findings that could offer potential targets for drugs that could help to enhance or mimic the benefits of exercise. “Such an intervention would be a complete game changer and the reason for that is that the obesity epidemic has led to the U.S. having a decreased life span compared to all other developed countries,” says Kellis.

Institute Prof. Barbara Liskov discusses the importance of including ethics and foresight as a key parts of computer science education, reports Susan D'Agostino for Inside Higher Ed. “The days of being naïvely technical, which we were for many years, are over,” says Liskov. “We need to open students’ minds so they think about the harm that can come from what they’re doing and so they ask, ‘What could I add that could act as a safeguard?’ It’s more than ethics. They need to think from a different perspective.”

Prof. Fadel Adib speaks with CBC Radio about his lab’s work developing a wireless, battery-free underwater camera that runs on sound waves. "We want to be able to use them to monitor, for example, underwater currents, because these are highly related to what impacts the climate," says Adib. "Or even underwater corals, seeing how they are being impacted by climate change and how potentially intervention to mitigate climate change is helping them recover."

At MIT’s AI Policy Forum Summit, which was focused on exploring the challenges facing the implementation of AI technologies across a variety of sectors, SEC Chair Gary Gensler and MIT Schwarzman College of Computing Dean Daniel Huttenlocher discussed the impact of AI on the world of finance. “If someone is relying on open-AI, that's a concentrated risk and a lot of fintech companies can build on top of it,” Gensler said. “Then you have a node that's every bit as systemically relevant as maybe a stock exchange."

MIT researchers have developed a new in-home device that can help monitor Parkinson’s patients by tracking their gait, reports Hiawatha Bray for The Boston Globe. “We know very little about the brain and its diseases,” says Professor Dina Katabi. “My goal is to develop non-invasive tools that provide new insights about the functioning of the brain and its diseases.”

Popular Science reporter Philip Kiefer writes that MIT researchers have developed an in-home device that could be used to track the progression of symptoms in Parkinson’s patients. “We can’t really ask patients to come to the clinic every day or every week,” explains graduate student Yingcheng Liu. “This technology gives us the possibility to continuously monitor patients, and provide more objective assessments.”

TechCrunch reporter Kyle Wiggers spotlights DynamoFl, a company founded by Christian Lau PhD ’20 and Vaikkunth Mugunthan PhD ’22 that is developing a federated learning platform, a technique for preserving data privacy in AI systems. 

The MIT Educational Justice Initiative has developed a 12-week program called Brave Behind Bars that teaches inmates “basic coding languages such as JavaScript and HTML in hopes of opening the door for detainees to one day pursue high-paying jobs,” reports Washington Post reporter Emily Davies. “The level of 21st century technology skills they just learned, I can’t do those things,” said Amy Lopez, deputy director of college and career readiness for the D.C. Department of Corrections. “They are transferrable, employable skills.”

Researchers from MIT’s Research Laboratory for Electronics have developed a portable desalinator that can turn seawater into safe drinking water, reports Ian Mount for Fortune. Research scientist Jongyoon Han and graduate student Bruce Crawford have created Nona Technologies to commercialize the product, writes Mount.

MIT researchers have “developed a free-floating desalination unit consisting of a multilayer evaporator that recycles the heat generated when the water vapor condenses, boosting its overall efficiency,” reports Nell Lewis for CNN. “Researchers suggested it could be configured as a floating panel on the sea, delivering freshwater through pipes to the shore, or it could be designed to serve a single household, using it atop a tank of seawater,” writes Lewis.

Washington Post reporter Pranshu Verma writes about how Prof. Dina Katabi and her colleagues developed a new AI tool that could be used to help detect early signs of Parkinson’s by analyzing a patient’s breathing patterns. For diseases like Parkinson’s “one of the biggest challenges is that we need to get to [it] very early on, before the damage has mostly happened in the brain,” said Katabi. “So being able to detect Parkinson’s early is essential.”

Prof. Hari Balakrishnan speaks with Forbes contributor Stuart Anderson about his decision to leave India to pursue a PhD in computer science in the U.S., his love for teaching students as a professor at MIT and his work co-founding Cambridge Mobile Telematics, a software company that utilizes technology to make roads safer. “Immigration and immigrants make the United States stronger,” said Balakrishnan. “Immigration is the biggest strength that we have. We need to be able to attract and retain talent, no matter where people come from.”

MIT researchers have developed a new hardware that offers faster computation for artificial intelligence with less energy, reports Kyle Wiggers for TechCrunch. “The researchers’ processor uses ‘protonic programmable resistors’ arranged in an array to ‘learn’ skills” explains Wiggers.