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.”
Kate Baggaley writes for NBC News that movement tracking technology developed by MIT researchers can be helpful for monitoring the elderly or sick. The system could be used to monitor an elderly relative and, “receive an instant alert if he or she falls,” or a doctor could use it to monitor the progression of a patient’s disease, explains Baggaley.
In an episode of BBC Click, host Spencer Kelly visits CSAIL to learn about developments in robotics and deep learning algorithms. Kelly notes that CSAIL is, “at the forefront of robotics, building machines in shapes and sizes that challenge our very idea of what a robot is.”
This CNN video profiles the new Cheetah 3 robot, which can avoid obstacles and climb stairs without using external visual sensors. CNN notes that the cheetah, “relies on ‘feel’ in place of cameras or sensors, using ‘blind locomotion.’”