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Up to this point, no attacks had been discovered targeting a car’s LiDAR system—but a major new finding from researchers at the University of Michigan has demonstrated what that might look like.
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Up to this point, no attacks had been discovered targeting a car’s LiDAR system—but a major new finding from researchers at the University of Michigan has demonstrated what that might look like.
Featured
Algorithm allows 3-D printers to “read ahead” of their programming to boost speeds.
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The frame in which a human marks out the boundaries of an object makes a huge difference in how well AI software can identify that object through the rest of the video.
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Understanding industrial vision systems by examining their components, imaging fundamentals, AI integration since 2020, and how to choose the right solution for every application.
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Latest Posts
Up to this point, no attacks had been discovered targeting a car’s LiDAR system—but a major new finding from researchers at the University of Michigan has demonstrated what that might look like.
3 minutes read
Algorithm allows 3-D printers to “read ahead” of their programming to boost speeds.
3 minutes read
The frame in which a human marks out the boundaries of an object makes a huge difference in how well AI software can identify that object through the rest of the video.
3 minutes read
If you’re unfamiliar with the term, GPS Waypoint Navigation is the ability to provide a robot with a set of GPS waypoints (i.e., a set of latitude / longitude pairs), and have the robot autonomously navigate from its current location to each of the defined waypoints.
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For robots to keep up with the pace of technological innovation, machine learning has become paramount. While robots are already effective at alleviating the manual operation of routine tasks, an intelligent robot should also be able to process their commands with future actions in mind.
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We are announcing the release of our state-of-the-art off-policy model-free reinforcement learning algorithm, soft actor-critic (SAC). This algorithm has been developed jointly at UC Berkeley and Google, and we have been using it internally for our robotics experiment.
Researchers built the first visual SLAM processor on a single chip that provides highly accurate, low-power, and real-time results.
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Like its predecessor, JackRabbot 2 is learning how to navigate safely through spaces occupied by people, following the rules of human etiquette. What it learns could help it move comfortably among us in the future.
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Mechanical engineering researchers are using AI and machine learning technologies to enhance the products we use in everyday life.
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Future cars will be both self-driving and manual. "We wanted to harness technology to enhance drivers’ skills without interfering with the enjoyment of being behind the wheel," explains José del R. Millán, who holds the Defitech Foundation Chair in Brain-Machine Interface (CNBI).
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