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V7 Labs Automates Image Annotation for Deep Learning

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Cells under a microscope, grapes on a vine and species in a forest are just a few of the things that AI can identify using the image annotation platform created by startup V7 Labs. Whether a user wants AI to detect and label images showing equipment in an operating room or livestock on a farm, the London-based company offers V7 Darwin, an AI-powered web platform with a trained model that already knows what almost any object looks like, according to Alberto Rizzoli, co-founder of V7 Labs. It's a boon for small businesses and other users that are new to AI or want to reduce the costs of training deep learning models with custom data. Users can load their data onto the platform, which then segments objects and annotates them. It also allows for training and deploying models.


Latest 'I AM AI' Video Features Four-Legged Robots and More

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"I am a visionary," says an AI, kicking off the latest installment of NVIDIA's I AM AI video series. Launched in 2017, I AM AI has become the iconic opening for GTC keynote addresses by NVIDIA founder and CEO Jensen Huang. Each video, with its AI-created narration and soundtrack, documents the newest advances in artificial intelligence and their impact on the world. The latest, which debuted at GTC last week, showcases how NVIDIA technologies enable AI to take on complex tasks in the world's most challenging environments, from farms and traffic intersections to museums and research labs. Here's a sampling of the groundbreaking AI innovations featured in the video.


Using Artificial Intelligence For Smarter Recycling - GE

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Filled with intricate mazes of high-speed conveyor belts carrying yesterday's garbage, high-tech recycling centers use sophisticated sensors to sort plastic from paper from aluminum. While this technology may streamline sorting, it's not smart or nimble enough to finish the job. Behind the scenes, recycling workers continue to sort the materials, making sure cereal boxes don't mix with soda cans. But the future of smart recycling is looking brighter. Spider-like robotic arms, guided by cameras and artificial intelligence (AI) -- think of it as facial-recognition technology for garbage -- are helping to make municipal recycling facilities (MRFs) run more efficiently.


Dumpster Diving Robots: Using AI for Smart Recycling - iQ by Intel

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Recycling facilities use robotic sorting stations and object-recognition technology to identify and put garbage in its proper place. Filled with intricate mazes of high-speed conveyor belts carrying yesterday's garbage, high-tech recycling centers use sophisticated sensors to sort plastic from paper from aluminum. While this technology may streamline sorting, it's not smart or nimble enough to finish the job. Behind the scenes, recycling workers continue to sort the materials, making sure cereal boxes don't mix with soda cans. But the future of smart recycling is looking brighter.


AI Helps Protect Taiwan's Endangered Leopard Cats NVIDIA Blog

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There's no mistaking why the leopard cat of Taiwan got its name. While only about the size of domestic felines, it sports a beautiful, flower-spotted pattern on its fur. There's also no debate about why the leopard cat, the only remaining native wild cat species in Taiwan, is on the edge of extinction. Fewer than 500 of the leopard cats live in a natural habitat that overlaps with many development projects in the central regions of the island. In an otherwise rural area, the cats are often victims of roadkill due to increased traffic.