The POWER TRIP J. Cafesin A sharp jolt wakes me. I open my eyes, my heart beating hard and fast, but I stay in bed while the room shakes, the walls creak and groan. Bolting for the bedroom threshold in my boxers to huddle in the doorway seems a bit extreme. The rash of quakes…

Goddard Space Center Chief Scientist Jim Garvin provides insight on'Fox New Live.' NASA released a video this week giving viewers the chance to witness the Ingenuity Mars Helicopter's historic third flight in 3D. In a release on Wednesday, the agency said that the video was meant to approximate standing on the Martian planet and witnessing the action "firsthand." "When NASA's Ingenuity Mars Helicopter took to the Martian skies on its third flight on April 25, the agency's Perseverance rover was there to capture the historic moment. Now NASA engineers have rendered the flight in 3D, lending dramatic depth to the flight as the helicopter ascends, hovers, then zooms laterally off-screen before returning for a pinpoint landing," the agency said. The Perseverance Mars rover's zoomable dual-camera Mastcam-Z instrument produced the video and other images NASA says provide "key data" for navigation and aids in scientists' efforts to locate rocket targets – and potentially ancient microbial life.

As a human you instinctively know that a leopard is closer to a cat than a motorbike, but the way we train most AI makes them oblivious to these kinds of relations. Building the concept of similarity into our algorithms could make them far more capable, writes the author of a new paper in Science Robotics. Convolutional neural networks have revolutionized the field of computer vision to the point that machines are now outperforming humans on some of the most challenging visual tasks. But the way we train them to analyze images is very different from the way humans learn, says Atsuto Maki, an associate professor at KTH Royal Institute of Technology. "Imagine that you are two years old and being quizzed on what you see in a photo of a leopard," he writes.

Currently, to plan out a day's worth of work on Curiosity, it takes scientists at NASA's Jet Propulsion Laboratory (JPL) about eight hours to first process information gathered by the rover the day before, plan out the next day's tasks, engineer those projects, bundle them up in digital instructions, and send more instructions back to Mars. Engineers spend about a half hour to an hour alone processing the images that Curiosity sends back, stitching together wide angle photos, or lining up stereo images that let humans--or rovers--deduce information about depth from two-dimensional pictures. "For things like driving or operating the arm, we take a picture with the left camera and a picture with the right camera" Justin Maki, the imaging scientist for Mars 2020, says. "Then we match up pixels between the two images to create a 3D image of the terrain. Because we have these wider field of view lenses, we end up with better quality stereo terrain maps."