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    Robotics startup this week deployed their logistics AI-equipped robot at customer facilities in North America and Europe. Their -accelerated platform consists of off-the-shelf robot arms equipped with cameras, a special gripper, GPUs, and .

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  2. Check out this brand new hands-on tutorial video by , designed to help you develop a real-time object detection app with 's

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    To help accelerate research in medicine, climate modeling, physics, and other academic research, has just unveiled a new 6 petaFLOPS capable -accelerated supercomputer named Big Red 200.

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  4. To help -based systems detect objects that lie outside direct line-of-sight, Stanford University researchers and collaborators developed a deep learning model that can detect objects around corners.

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  5. To help develop intelligent machines that interact more effectively with complex 3D environments, Facebook researchers developed a GPU-accelerated deep reinforcement learning model that achieves near 100 percent success in navigating a variety of virtual environments.

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  6. . achieved 50% training speedup on ASR and NLP models for medical transcription with just a few lines of code. Learn more in this guest post:

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  7. Releasing blog + sample to run text to speech with real-time-factor (RTF) of 6 using Tacotron2 + WaveGlow. 7. Learn more:

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  8. NVIDIA Developer Blog 2019 Highlights - Nearly 100 technical posts were published this year across a variety of industries. Here's a list of the most viewed posts from 2019 and some that you might have missed.

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  9. Learn how to achieve 13x speedup and 11x throughput vs CPU on Wide & Deep recommender model using Inference SDK in new blog.

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  10. Learn how to easily build an accurate, fine-tuned ASR model on GPUs using Neural Modules (NeMo) toolkit in this walkthrough + notebook.

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  11. Announced at - Latest CUDA-X AI updates accelerate building and deployment of full conversational AI pipeline, including over 10x faster inference on ASR, NLP, TTS apps with 7. Try today.

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  12. To achieve 30-50x faster processing from next generation sequencing to variant calling, and team up to offer the NVIDIA Parabricks Analysis Toolkit.

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  13. NVIDIA is releasing QuartzNet, a new end-to-end neural ASR model architecture based on Jasper that is smaller than all other competing models. In this new technical blog, learn how you can use it to deploy your ASR applications more efficiently to the edge.

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  14. Meet the AI choreographer! To help automatically create a dance video, researchers developed a model that can automatically compose new dance moves. The work is being presented at this week.

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  15. proslijedio/la je Tweet
    9. pro 2019.

    Looking forward to an interesting holiday project. Our order of 70 DevKits just arrived:)

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  16. Check out 's Top 10 stories of 2019 #2019

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  17. From a -based service robodog, to an algorithm that can instantaneously detect cancer in the blood, these are the stories that we covered in 2019. Watch via YouTube and read more on the Developer News Center.

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  18. proslijedio/la je Tweet
    5. pro 2019.

    Using and you can train an model to parse logs more flexibly than traditional methods

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  19. .’s viral real-time AI art sensation just won a 2019 Magazine “Best of What’s New Award” in the engineering category. Developed by NVIDIA researchers in 2019, GauGAN is the first AI model that can produce complex images with only a few brushstrokes.

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  20. Healthcare models require lots of data. The challenge is that medical institutions need to collaborate without compromising patient privacy. To address this, the latest release of Clara Train SDK includes Federated Learning, enabling developers to share data securely.

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