Episode 045 - Computer Vision on AWS with Francesco Pochetti

The AWS Developers Podcast

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Close Encounters with UFO Hot Spots: Area 51, Roswell, and the Great ET Road Trip 39:50

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The truth is out West! We’re hopping on the ET Highway and venturing to the most notorious alien hot spots, including Roswell’s infamous crash site, Area 51’s eerie perimeter, and a mysterious desert watchtower. Join us as journalist Laura Krantz, host of the podcast Wild Thing , beams up to share stories from the front lines of UFO reporting—from strange sightings and quirky festivals to a mailbox where people leave letters to extraterrestrials. Maybe you’ll even decide for yourself: Is Earth a tourist stop for spaceships? UFO hot spots you’ll encounter in this episode: - UFO Watchtower (near Great Sand Dunes National Park, Colorado) - Roswell, New Mexico - Area 51, Nevada - Extraterrestrial Highway (aka State Route 375), Nevada - Little A’Le’Inn, ET Highway, Nevada - E.T. Fresh Jerky, ET Highway, Nevada - Alien Research Center, ET Highway, Nevada - The Black Mailbox, ET Highway, Nevada Via Podcast is a production of AAA Mountain West Group .…

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In this episode, Dave chats with Francesco Pochetti, Senior Machine Language Engineer at Bolt, and an AWS Machine Learning Hero. Francesco covers his career start as a chemist, his journey into a career of Data Science, and how Computer Vision technology is handling some of the most difficult Machine Learning problems today. Francesco on Twitter: https://twitter.com/Fra_Pochetti Dave on Twitter: https://twitter.com/thedavedev Francesco’s Website: https://francescopochetti.com/ Francesco’s LinkedIn: https://www.linkedin.com/in/francescopochetti/ Francesco’s GitHub: https://github.com/FraPochetti [BLOG] Blurry faces: Training, Optimizing and Deploying a segmentation model on Amazon SageMaker with NVIDIA TensorRT and NVIDIA Triton: https://francescopochetti.com/blurry-faces-a-journey-from-training-a-segmentation-model-to-deploying-tensorrt-to-nvidia-triton-on-amazon-sagemaker/ [BLOG] Machine Learning and Developing inside a Docker Container in Visual Studio Code: https://francescopochetti.com/developing-inside-a-docker-container-in-visual-studio-code/ [BLOG] Deploying a Fashion-MNIST web app with Flask and Docker: https://francescopochetti.com/deploying-a-fashion-mnist-web-app-with-flask-and-docker/ [BLOG] IceVision meets AWS: detect LaTeX symbols in handwritten math and deploy with Docker on Lambda: https://francescopochetti.com/icevision-meets-aws-detect-latex-symbols-in-handwritten-math-and-deploy-with-docker-on-lambda/ [DOCS] Amazon Rekognition: https://aws.amazon.com/rekognition/ [DOCS] Amazon SageMaker: https://aws.amazon.com/sagemaker/ [DOCS] Amazon Textract: https://aws.amazon.com/textract/ [DOCS] Deploy fast and scalable AI with NVIDIA Triton Inference Server in Amazon SageMaker: https://aws.amazon.com/blogs/machine-learning/deploy-fast-and-scalable-ai-with-nvidia-triton-inference-server-in-amazon-sagemaker/ [GIT] Nvidia Triton Inference Server: https://github.com/triton-inference-server/server/ [GIT] Blurry faces: Training, Optimizing and Deploying a segmentation model on Amazon SageMaker with NVIDIA TensorRT and NVIDIA Triton: https://github.com/FraPochetti/KagglePlaygrounds/tree/master/triton_nvidia_blurry_faces Subscribe: Amazon Music: https://music.amazon.com/podcasts/f8bf7630-2521-4b40-be90-c46a9222c159/aws-developers-podcast Apple Podcasts: https://podcasts.apple.com/us/podcast/aws-developers-podcast/id1574162669 Google Podcasts: https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5zb3VuZGNsb3VkLmNvbS91c2Vycy9zb3VuZGNsb3VkOnVzZXJzOjk5NDM2MzU0OS9zb3VuZHMucnNz Spotify: https://open.spotify.com/show/7rQjgnBvuyr18K03tnEHBI TuneIn: https://tunein.com/podcasts/Technology-Podcasts/AWS-Developers-Podcast-p1461814/ RSS Feed: https://feeds.soundcloud

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