HOW DC MOTORS WORK -CLEARLY,EASY AND VISUAL HELP TO UNDERSTAND

HOW DC MOTORS WORK -CLEARLY,EASY AND VISUAL HELP TO UNDERSTAND

WuXin
the best videos explaining the working principle and construction of an electric motor
HOW DC MOTORS WORK -CLEARLY,EASY AND VISUAL HELP TO UNDERSTAND

HOW DC MOTORS WORK -CLEARLY,EASY AND VISUAL HELP TO UNDERSTAND

WuXin
the best videos explaining the working principle and construction of an electric motor
Let's teach kids to code

Let's teach kids to code

WuXin
Coding isn't just for computer whizzes, says Mitch Resnick of MIT Media Lab -- it's for everyone. In a fun, demo-filled talk Resnick outlines the benefits of teaching kids to code, so they can do more than just use new tech toys but also create them.

What is Scratch do?

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Scratch is the world's largest coding community for children and a coding language with a simple visual interface that allows young people to create digital stories, games, and animations. 

Intelligent Trash Pick-Up Robots Coming to an Office Near You-Reprint Nivida

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While you’re probably used to throwing away your own trash (hopefully), there’s no reason to with modern artificial intelligence (AI).

The Trashformer Team, a group of NVIDIA Jetson interns, created a small humanoid robot that detects and picks up trash autonomously through a neural network model using a Jetson TX2.

These high school developers started at NVIDIA in June and in only seven weeks built an advanced clean-up machine. All of them have previous experience building robots as part of the FIRST Robotics Competition, but this summer their efforts focused on incorporating AI into a real-world application.

The humanoid robot combines the Jetson TX2 with a Bioloid GP and Logitech webcam. The neural network, named Trashnet, is a multi-class model trained using a Tesla P100 and Quadro P5000 with a cuDNN-accelerated Caffe deep learning framework. It continuously scans the live feed from the webcam and draws bounding boxes around any trash it sees. An array of these bounding boxes is then used to run specific routines. NVIDIA JetPack provides all of the necessary libraries to perform these actions out of the box.

Postmates Presents New NVIDIA Jetson AGX Xavier Equipped Delivery Robot at GTC

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Postmates Presents New NVIDIA Jetson AGX Xavier Equipped Delivery Robot at GTC

Postmates, the on-demand delivery company that operates across the United States presented a new all-electric autonomous delivery robot equipped with the latest NVIDIA Jetson AGX Xavier module for autonomous machines at GTC Silicon Valley in San Jose. 

The robot called Serve can carry 50 pounds of goods with a range of 30 miles. The system is designed to work alongside the Postmates fleet and can move items over short distances efficiently, the company said.

“Serve was built to respect cities, meets customer demands, and helps local businesses sell even more,” the company wrote in a blog post.

The robot runs on electric power and moves at walking speed.

In addition to the Jetson AGX Xavier system, Serve is equipped with Velodyne LIDAR sensors to help create a virtual picture of the world in real time.

“In order to make the robot travel safely in the city, on the sidewalk, in the neighborhood, autonomously, requires us to use GPUs. Said Zhenyu Guo, Director of Artificial Intelligence at Posmates X. “Our team is using TensorFlow for model training, testing and developing. After we train the model in TensorFlow, we convert the model to TensorRT and we deploy the Xavier platform using NVDLA….By Using FP16 half-precision together with NVDLA we got more than 40x speedup,” added Guo.