Deci’s content hub on the latest Artificial Intelligence and Deep Learning trends and insights

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Deci Joins NVIDIA Metropolis to Accelerate Unparalleled AI Inference Performance

Deci is now a part of NVIDIA Metropolis — a program that leverages vision AI to improve operational efficiency and safety across industries.

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How to Build State of the Art Computer Vision Models

Discover how to build SOTA computer vision models using the Deci platform powered by hardware-aware neural architecture search technology.

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How to Deliver Real-time Object Detection on a NVIDIA Jetson Device

Both connected to a NVIDIA Jetson Xavier NX, learn how our DeciDet ran almost 3 times faster while also delivering 1% better accuracy compared to YOLOX.

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How to Scale Up Real-Time AI Video Analytics on the Edge

Video analytics are being deployed across verticals. Learn how to scale up real-time edge AI video analytics with a hardware-aware solution.

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8 Questions and Practical Tips on Deep Learning Model Selection

In the process of selecting deep learning models? Read experts' thoughts on new architectures, tips, and best practices on choosing CNNs.

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Webinar: How to Select the Right CNN Architecture for Your Application

Take a deep dive into the intricate but critical stage of selecting convolutional neural network (CNN) architectures.

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Deci Raises $25M Series B to Accelerate the Productization of Real-World AI Applications

Deci’s deep learning platform bridges the AI efficiency gap, empowering AI teams to efficiently build next-generation DL applications.

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Webinar: How to Achieve SOTA Accuracy & Runtime for Semantic Segmentation Models

Learn from real-world applications of SOTA semantic segmentation models on various HW and how to gain such results using open source tools.

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Webinar: How to Boost Inference Performance of Your YOLOX Model

Watch a walkthrough of a simple and fast way to optimize and deploy a YOLOX model (or any other deep learning model) in less than 15 minutes

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