Blog Posts

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nGraph Compiler Stack–Beta Release

This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. Deep Learning (DL) computational performance is critical for scientists and engineers applying deep learning techniques to many challenges in healthcare, commerce, autonomous driving, and other domains. This is why in March, we released an early version of […]

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6 Reasons Why Deep Learning Accelerators Need Vision Processors

This blog post was originally published at videantis' website. It is reprinted here with the permission of videantis. Since AlexNet in 2012, deep learning (DL) has taken the world of image processing by storm. Working on vision applications for automotive, smartphones, data centers, augmented reality, or using image processing in any shape or form? Then

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Safety Is What Drives Us: Introducing the NVIDIA Self-Driving Safety Report

This blog post was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. Autonomous vehicles promise to reduce traffic accidents by replacing unpredictable human drivers with artificial intelligence. But how do manufacturers ensure these new drivers are truly safe? To help answer that, NVIDIA has released the Self-Driving Safety Report.

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Vision, Data and AI: Connecting the Factory of the Future

This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. Artificial intelligence and the Internet of Things are helping companies make the factory of the future a reality by harnessing the power of machine vision, connected devices, and real-time insights. Designing and implementing smart factories requires the

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What’s the Difference Between a CNN and an RNN?

This blog post was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. The hit 1982 TV series Knight Rider, starring David Hasselhoff and a futuristic crime-fighting Pontiac Firebird, was prophetic. The self-driving, talking car also offers a Hollywood lesson in image and language recognition. If scripted today, Hasselhoff’s AI

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Training Data to Help Machines See

This blog post was originally published at Camio's website. It is reprinted here with the permission of Camio. Assembling realistic and relevant training data is critical to the quality of AI classifiers. But finding and collecting all that real-life data is hard — especially when the training data is specialized for specific camera scenes and private to

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AI Think I Can: Why GPUs Could Be the Engine Leading Us to Autonomous Trains

This blog post was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. Self-driving cars and trucks are the talk of the town, but trains could be first out of the station as a fully autonomous form of transportation. That’s because — unlike passenger vehicles or long-haul trucks — a

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Perception Matters: How Deep Learning Enables Autonomous Vehicles to Understand Their Environment

This blog post was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. Humans are constantly taking in data from the world around them using five primary senses. You hear your phone ring, see a notification on your computer screen or touch something hot. However, without perception, there’s no way

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SuperVize Me: What’s the Difference Between Supervised, Unsupervised, Semi-Supervised and Reinforcement Learning?

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. There are a few different ways to build IKEA furniture. Each will, ideally, lead to a completed couch or chair. But depending on the details, one approach will make more sense than the others. Got the instruction

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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