Forbes contributor Jeff McMahon writes that a new study by MIT researchers finds that nuclear reactors “cost so much in the West because of poor construction management practices.” The study’s authors suggest several ways to reduce the cost of constructing a nuclear plant, including standardizing multi-unit sites, seismic isolation, and modular construction.
Prof. Tim Berners-Lee has created a new technology aimed at allowing people more control over their online data, reports the BBC News. Berners-Lee felt that the “current model of handing over lots of data to many different online services did not serve people well,” the BBC explains.
Forbes reporter Amy Feldman highlights Desktop Metal, a company started by MIT graduate Ric Fulop and a number of MIT researchers, that has developed 3-D metal printers that are intended to “print fast enough and at a low enough cost to replace casting and CNC machining for numerous metal parts.”
Forbes reporter Maribel Lopez writes about how researchers at the MIT-IBM Watson AI Lab are tackling a variety of AI challenges with real-world applications. Lopez notes that it’s great to see organizations like MIT and IBM coming together to “bridge the gap between science and practical AI solutions that can be used for both commercial and social good.”
Akshat Rathi of Quartz reports that Breakthrough Energy Ventures will invest in Commonwealth Fusion Systems, a startup collaborating with MIT to make fusion energy a viable source of renewable energy. The closely-watched fund’s investment “signals to others that a breakthrough in fusion may be closer than most think,” writes Rathi.
“Top Chef” star Padma Lakshmi has been named a visiting scholar at MIT’s Center for Gynepathology Research and will be speaking at the center’s Open Endoscopy Forum, according to the Boston Herald. The forum will feature “top MIT minds and medical experts, all of whom will shine light on the push to make improvements within the specialty.”
CSAIL researchers have developed a technique that makes it possible to create 3-D motion sculptures from 2-D video, reports Jennifer Kite-Powell for Forbes. The new technique could “open up the possibility to study social disorders, interpersonal interactions and team dynamics,” Kite-Powell explains.
BBC Click reports on a system developed by CSAIL researchers that creates 3-D motion sculptures based off of 2-D video. The technique, say the researchers, “could help dancers and athletes learn more about how they move.”
Boston Globe reporter Dugan Arnett spotlights MechE senior Alex Hattori, a six-time national yo-yo champion. Hattori, who was originally inspired to attend MIT so that he could take a course where students design and build yo-yos, explains that he doesn’t think he’ll ever stop competing. “I love yo-yoing as much as I did the first day,” he says.
Prof. John Leonard speaks with Bloomberg News about his work with the Toyota Research Institute on developing a system that combines machine learning technologies and sensors to make vehicles safer. “Imagine if you had the most vigilant and capably trained driver in the world that could take over in a situation where a teenager took a curve too fast,” says Leonard of the inspiration for the system.
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.”
In an article for The New York Times, Prof. Alan Jasanoff reviews Eric Kandel’s book, “The Disordered Mind.” Jasanoff writes that the book provides an engaging “overview of contemporary thinking about the intersection of mental health and neuroscience.”
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.