MIT Schwarzman College of Computing

Prof. Peter Shor, an expert in quantum algorithms, has been named one of four recipients for the Breakthrough Prize in Fundamental Physics, reports Ian Sample for The Guardian.

Prof. Peter Shor has been named one of four honorees for this year’s Breakthrough Prize in Fundamental Physics for his contributions to the field of quantum information, reports Daniel Garisto for Scientific American. All of Shor’s work, “led to new views of quantum mechanics and computing,” writes Garisto. 

Prof. Cynthia Breazeal discusses her work exploring how artificial intelligence can help students impacted by Covid, including refugees or children with disabilities, reports Ryan Heath for Politico. “We want to be super clear on what the role is of the robot versus the community, of which this robot is a part of. That's part of the ethical design thinking,” says Breazeal. “We don't want to have the robot overstep its responsibilities. All of our data that we collect is protected and encrypted.”

Prof. Peter Shor is one of four winners for this year’s Breakthrough Prize in Fundamental Physics, reports Zeeya Merali for Nature. Merali writes that Shor’s research “laid the groundwork for the development of ultra-secure communications and computers that might one day outperform standard machines at some tasks.”

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.”

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.”

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.

Forbes contributor Jennifer Kite-Powell spotlights how MIT researchers created a new AI system that analyzes radio waves bouncing off a person while they sleep to monitor breathing patterns and help identify Parkinson’s disease. “The device can also measure how bad the disease has become and could be used to track Parkinson's progression over time,” writes Kite-Powell.

A new tool for diagnosing Parkinson’s disease developed by MIT researchers uses an AI system to monitor a person’s breathing patterns during sleep, reports Hiawatha Bray for The Boston Globe. “The system is capable of detecting the chest movements of a sleeping person, even if they’re under a blanket or lying on their side,” writes Bray. “It uses software to filter out all other extraneous information, until only the breathing data remains. Using it for just one night provides enough data for a diagnosis.”

Boston Globe reporter Hiawatha Bray speaks with Radio Boston host Tiziana Dearing about how MIT researchers developed an artificial intelligence model that uses a person’s breathing patterns to detect Parkinson’s Disease. The researchers “hope to continue doing this for other diseases like Alzheimer’s and potentially other neurological diseases,” says Bray.

Researchers at MIT have developed an artificial intelligence sensor that can track the progression of Parkinson’s disease in patients based on their breathing while they sleep, reports Conor Hale for Fierce Biotech. “The device emits radio waves and captures their reflection to read small changes in its immediate environment,” writes Hale. “It works like a radar, but in this case, the device senses the rise and fall of a person’s chest.”