Scott Jaschik of Inside Higher Ed reports that MIT has announced a $1 billion plan to create a college of computing. The college, which will be named for Stephen Schwarzman, will also “promote teaching and research on computing and artificial intelligence.”
MIT’s new college of computing will teach students how to apply computer science and artificial intelligence in their specific field of study, writes Dave Gershgorn for Quartz. Gershgorn notes that researchers studying the impact of AI on society “have consistently suggested the expansion of interdisciplinary education, on the grounds that computer scientists can sometimes overlook the nuances of other fields.”
With the MIT Stephen A. Schwarzman College of Computing, MIT is looking to educate the next generation of people working in the field of AI and computer science, writes James Vincent for The Verge. Vincent explains that the college is also aimed at investigating the ethics involved with the fields of computing and AI, positioning “the college as an ethically minded enterprise.”
In an article for TechCrunch, Danny Crichton calls the new MIT Stephen A. Schwarzman College of Computing a “doubling down on the future of computer science.” Crichton writes that “the objective of the new school will be to ensure that all MIT students become familiar with the field regardless of their chosen profession.”
Boston Globe reporter Andy Rosen writes that MIT is establishing a college of computing as part of an effort to examine the impact computer science and AI is having on all disciplines. “We have to move much faster educating the next generation for the new economy,” explains President L. Rafael Reif. “The way to do that is to come up with integrated curriculum.”
Financial Times reporter Clive Cookson writes that MIT is establishing a college of computing to help students and researchers use computing and AI to advance their work. President L. Rafael Reif explains that the MIT Stephen A. Schwarzman College of Computing “will constitute both a global centre for computing research and education, and an intellectual foundry for powerful new AI tools.”
In this Reuters video, Jim Drury highlights how MIT researchers have developed an activity simulator that could one day help teach robots how to complete household chores. The simulator, VirtualHome, could train robots to “help the elderly or disabled in their homes,” Drury explains.
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.”
Fast Company reporter Mark Wilson writes that MIT researchers have developed a new tool for computer-aided drafting software that can optimize the design for any product. Wilson explains that the tool could “help designers optimize their existing processes–and, crucially, deconstruct what works and what doesn’t, sooner.”
In this video, NBC Mach highlights the robotic cheetah developed by MIT researchers that can navigate without cameras or sensors. While most robots require light to explore their surroundings, the “Cheetah 3 will be able to feel its way through light-less situations such as caves or mines.”
MIT researchers have developed a machine learning system that could reduce the number of chemotherapy and radiotherapy treatments that glioblastoma patients receive, reports the Xinhua News Agency. The system “finds an optimal treatment plan, with the lowest possible potency and frequency of doses that should still reduce tumor sizes,” Xinhua explains.
Steven Melendez of Fast Company reports on a new system from MIT researchers called Accountability of Unreleased Data for Improved Transparency, or AUDIT, which could help the public track police surveillance. “While certain information may need to stay secret for an investigation to be done properly, some details have to be revealed for accountability to even be possible,” says graduate student Jonathan Frankle.
In an article for Forbes about how AI could improve healthcare, Bernard Marr highlights an algorithm developed by MIT researchers that can analyze 3-D scans up to 1,000 times faster than is currently possible. “When saving minutes can mean saving lives, AI and machine learning can be transformative,” writes Marr.
MIT researchers have updated their robotic cheetah to allow it to move without relying on external vision sensors, reports Lisa Spear for Newsweek. Spear explains that, “an algorithm helps the mechanical creature determine the best time to transition a leg between a swing and a step, by constantly calculating the probabilities of each legs' movement.”
Axios reporter Kaveh Waddell writes about the Cheetah 3 robot, which navigates its environment without cameras. Waddell explains that, “the researchers measure the force on each of the Cheetah's legs straight from the motors that control them, allowing it to move fast — at 3 meters per second, or 6.7 miles an hour — and jump up onto a table from a standstill.”