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The Power of Artificial Intelligence in Drones

Analytics Vidhya

Introduction Nowadays, people around the world think about drones?—?and and not just how fun they are to fly, but how much drones have improved our modern life. Source: [link] From delivering packages on demand to surveying disaster zones, drones are crucial to many businesses and […].

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Morphobots for Mars: Caltech Develops All-Terrain Robot as Candidate for NASA Mission

NVIDIA

Caltech has unveiled its multi-talented robot that can fly, drive, walk and do eight permutations of motions through a combination of its skills. We’re kind of dizzy about how it suddenly got so much attention,” he said. Drone deliveries are the “low hanging fruit,” for this robot, said Gharib.

Robotics 100
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Emergency Services See Improved Response Management Thanks to AI

Unite.AI

How does this manifest in each sector to deliver people the aid they need as quickly and efficiently as possible? Down the street, a fire erupts and sensors alert authorities before you dial the phone. Across the world, police officers leverage AI-powered imaging to protect citizens in a new way.

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Video Friday: Resilient Bugbots

Flipboard

Inspired by the hardiness of bumblebees, MIT researchers have developed repair techniques that enable a bug-sized aerial robot to sustain severe damage to the actuators, or artificial muscles, that power its wings—but to still fly effectively. [ ANYbotics ] Always nice to see drones getting real work done! Paper ] Thanks, Bram!

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MIT and Stanford Researchers Developed a Machine-Learning Technique that can Efficiently Learn to Control a Robot, Leading to Better Performance with Less Data

Flipboard

Researchers from MIT and Stanford University have introduced a novel machine-learning technique that has the potential to revolutionize the control of robots, such as drones and autonomous vehicles, in dynamic environments with rapidly changing conditions.

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The K-Nearest Neighbors Algorithm Math Foundations: Hyperplanes, Voronoi Diagrams and Spacial…

Mlearning.ai

By doing this work so many times, your robot brain learned how to get the measurements from its sensors and compare them to a library of previous knowledge to correctly classify the aircraft. The ‘K’ depends on how many nearest points you are looking at. Intersecting bubbles create a space segmented by Voronoi regions. on Unsplash 1.

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Computer Vision Applications: The Breakthroughs They Power

Defined.ai blog

Ever wondered how our devices can now “see” and “interpret” the world around us? If you are curious about how it’s woven into the fabric of various industries and its transformative power, you’re in the right place. That’s the magic of computer vision applications.