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.’”
ABC News reporter Bopha Phorn writes about the latest iteration of a robotic cheetah developed by MIT researchers. Phorn explains that the researchers hope the cheetah will eventually be able to, “help some work that’s impossible for humans to do,” like search and rescue operations.
In this video, Reuters reporter Roselle Chen spotlights the Cheetah 3 robot, which utilizes two algorithms to run across rough terrain and maintain its balance without using cameras or sensors. Chen explains that the robot being able to navigate without cameras or sensors is like a human being able to walk around while its pitch black out.
MIT researchers have unveiled the latest iteration of their robotic cheetah that can navigate without the use of cameras or sensors and could be used for disaster response, reports Jordan Graham for The Boston Herald. “We’re mostly thinking about sending robots instead of humans where potential hazards like toxicity or radiation or dangers can be,” explains Prof. Sangbae Kim.
Writing for Popular Mechanics, Eric Limer highlights how the updated Cheetah 3 robot can navigate by feeling its way around its environment and can leap up onto tables. Limer explains that the robotic cheetah is, “able to rear back on its hind legs, leap into the air, and make a solid landing on a platform much taller than it is.”
TechCrunch reporter Brian Heater writes that Prof. Sangbae Kim and his research group robotic cheetah can now run up the stairs and walk over debris without the use of cameras or sensors. Heater explains that the robot, “utilizes a pair of new algorithms — contact detection and model-predictive control — which help it recover its balance in the case of slippage.”
CSAIL researchers have created a deep learning system that can isolate individual musical instruments in a video by clicking on the specific instrument, writes Andrew Liszewski for Gizmodo. The researchers suggest the system, “could be a vital tool when it comes to remixing and remastering older performances where the original recordings no longer exist,” explains Liszewski.