Prof. C. Cem Tasan speaks with BBC News reporter Chris Baraniuk about the potential for self-healing metals. Baraniuk explains that Tasan and his team are “investigating metals containing tiny structures that resist crack growth in each stress cycle.”
The first image captured during the initial orbit of the MIT-developed TESS satellite shows thousands of stars in the Southern Sky, reports Brooks Hays for UPI. “Galaxies, globular clusters and thousands of stars can be found within the portrait of the Southern Sky. Hidden in the image are exoplanets,” writes Hays.
The MIT-developed TESS satellite has sent back its first batch of images of the southern sky from its quest to identify nearby exoplanets, reports writes Chris Ciacci for Fox News. Ciacci notes that the resulting images are “nothing short of incredible.”
Popular Mechanics reporter John Wenz writes that a new study co-authored by MIT researchers examines how lithium moves through batteries. The findings could be used to help build a smarter battery, including “designing selective transport channels, additional shielding on batteries, or a battery additive that would prevent against corrosion or the formation of hot spots.”
A study co-authored by Prof. Amy Finkelstein finds that bundling Medicare payments for procedures such as hip and knee replacements reduces the use of post-acute care by about 3 percent, reports Austin Frakt for The New York Times. Finkelstein explains that she examined the use of post-acute care as “it is an area where there is concern about overuse.”
Axios reporter Andrew Freeman writes that the TESS satellite has captured its first images of the southern sky. “This swath of the sky’s southern hemisphere includes more than a dozen stars we know have transiting planets based on previous studies from ground observatories,” explains MIT’s George Ricker, TESS’ principal investigator.
Writing for The Guardian, Jeff Nesbit highlights Prof. Kerry Emanuel’s research showing that climate change is increasing the risk of extreme storms. Nesbit explains that Emanuel found that the risk for extreme storms in Tampa, Cairns, and the Persian Gulf increased by up to a factor of 14 over time as Earth’s climate changed.
Smithsonian reporter Emily Matchar highlights how MIT researchers have developed a new system that enables data sharing between underwater and airborne devices. Prof. Fadel Adib explains that the technology could be used to “study marine life and have access to a whole new world that is still pretty much out of our reach today.”
Fortune reporters Aaron Pressman and Adam Lashinsky highlight graduate student Joy Buolamwini’s work aimed at eliminating bias in AI and machine learning systems. Pressman and Lashinsky note that Buolamwini believes that “who codes matters,” as more diverse teams of programmers could help prevent algorithmic bias.
Writing for NOVA Next, Nafisa Syed highlights how Prof. Kerry Emanuel is working on creating a new risk assessment paradigm for severe weather events like Hurricane Florence. Syed writes that Emanuel is trying to “understand what, for example, a 100-year storm is going to look like in the year 2100.”
CNBC reporter Catherine Clifford writes that MIT researchers have started a project to spotlight creative collaborations between humans and machines. Postdoctoral associate Pinar Yanardag explains that the project is aimed at showing the public that “we can work together with AI to achieve the most creative and productive outcomes.”
Boston Globe reporter Martin Finucane writes that MIT researchers have developed sensors that can track dopamine levels in the brain. The sensors could eventually be used to monitor “Parkinson’s patients who receive a treatment called deep brain stimulation,” Finucane explains, adding that the sensors could “help deliver the stimulation only when it’s needed.”
BBC Click reports on an AI system developed by CSAIL researchers that simplifies image editing. “Instead of requiring the user to select the pixels very accurately, our system can just detect it and give the opacities for every object in the image automatically, which can then be used for editing the images in a realistic way,” explains visiting researcher Yagiz Aksoy.
CSAIL researchers have created a system that allows robots to see and pick up objects they have never encountered without assistance from humans, writes Jason Murdock for Newsweek. The researchers are now working on teaching the system to “move objects with a specific goal in mind, such as cleaning a desk,” reports Murdock.
MIT researchers have developed a model that can help detect depression by analyzing an individual’s speech patterns, reports Kaveh Waddell for Axios. Waddell explains that the researchers, “trained an AI system using 142 recorded conversations to assess whether a person is depressed and, if so, how severely.”