Rapid adaptation of deep learning teaches drones to survive any weather
To be truly useful, drones—that is, autonomous flying vehicles—will need to learn to navigate real-world weather and wind conditions.
May 4, 2022
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To be truly useful, drones—that is, autonomous flying vehicles—will need to learn to navigate real-world weather and wind conditions.
May 4, 2022
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Artificial intelligence seems perfect for creating massive sets of images needed to train autonomous cars and other machines to see their environment, but current generative AI systems have shortcomings that can limit their ...
Jul 7, 2023
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If a sticker on a banana can make it show up as a toaster, how might strategic vandalism warp how an autonomous vehicle perceives a stop sign? Now, an immune-inspired defense system for neural networks can ward off such attacks, ...
Mar 24, 2022
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Automated speech-recognition technology has become more common with the popularity of virtual assistants like Siri, but many of these systems only perform well with the most widely spoken of the world's roughly 7,000 languages.
Nov 4, 2021
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Autonomous functions for robots, such as spontaneity, are highly sought after. Many control mechanisms for autonomous robots are inspired by the functions of animals, including humans. Roboticists often design robot behaviors ...
Nov 11, 2020
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A team of researchers affiliated with several institutions in the U.K. has found that cascade effects are more to blame for poor performance by London's commuter train system than are mechanical failures. In their paper published ...
With artificial intelligence (AI) tools and machine learning algorithms now making their way into a wide variety of settings, assessing their security and ensuring that they are protected against cyberattacks is of utmost ...
Could a mathematical model help predict future mutations of the coronavirus and guide scientists' research as they rush to develop an effective vaccine? This is a possibility being considered by researchers at the USC Viterbi ...
Jul 3, 2020
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An experimental computing system physically modeled after the biological brain has "learned" to identify handwritten numbers with an overall accuracy of 93.4%. The key innovation in the experiment was a new training algorithm ...
Nov 14, 2023
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The case for building Scalable Neuromorphic Networks is this: like humans, smarter chips have a larger, tighter neural network. Indeed, neural networks are the current state-of-the-art for machine learning. This isn't robotics, ...
Mar 31, 2023
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