This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. In this blog series, we’re looking at one of Intel’s branches of AI research, neuromorphic computing. The goal of neuromorphic computing is to apply the fundamental properties of neural computation found in nature to breakthroughs in non-Von […]
Exploring Neuromorphic Computing for AI: Why Spikes? (Part Two) Read More +
This blog post was originally published by Teleidoscope. It is reprinted here with the permission of Teleidoscope. Quick recap: Region of Interest (ROI) trackers are used for tracking arbitrary moving objects or regions of an image. One example of this might be tracking something like a bottle a car, or in the case of our
Region of Interest Tracking Use Case: Augmented Reality Games Read More +
This blog post was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. SLAM is a commonly used method to help robots map areas and find their way. To get around, robots need a little help from maps, just like the rest of us. Just like humans, bots can’t always
What Is Simultaneous Localization and Mapping? Read More +
This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. AI is now fast defining the next major era of computing, thanks to the pioneering work of David Rumelhart, Geoffrey Hinton, Yann LeCun, Yoshua Bengio, and many others over the past few decades. Yet ongoing progress in
Exploring Neuromorphic Computing for AI: Why Spikes? (Part One) Read More +
This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. As we all watch automakers and autonomous tech companies team up in various alliances, it’s natural to wonder about their significance and what the future will bring. Are we realizing that autonomous driving technology and its acceptance
This blog post was originally published by Teleidoscope. It is reprinted here with the permission of Teleidoscope. In our previous post we discuss the various types of computer vision based tracking. At Teleidoscope we’ve dedicated significant time and effort to building a fast and robust Region of Interest (ROI) tracker which we license as is,
Comparing State of the Art Region of Interest Trackers Read More +
This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. PyTorch acceleration baked into the latest generation of Intel Xeons. That will help speed up the 200 trillion predictions and 6 billion translations Facebook does every day. https://t.co/2gM75pFvrC — Yann LeCun (@ylecun) April 9, 2019 Intel® Deep
Increasing AI Performance and Efficiency with Intel DL Boost Read More +
This blog post was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. Detailing the building blocks of autonomous driving, new NVIDIA DRIVE Labs video series provides an inside look at DRIVE software. Editor’s note: No one developer or company has yet succeeded in creating a fully autonomous vehicle. But
DRIVE Labs: How We’re Building Path Perception for Autonomous Vehicles Read More +
This blog post was originally published by Teleidoscope. It is reprinted here with the permission of Teleidoscope. Tracking: To follow a uniquely identified region of interest in a sequence of images. Think about the first 15 minutes of your morning. You open your eyes, get out of bed. Maybe you’re making a cup of coffee,
Computer Vision-based Tracking Approaches Read More +
This blog post was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. In unveiling the specs of his new self-driving car computer at this week’s Tesla Autonomy Day investor event, Elon Musk made several things very clear to the world. First, Tesla is raising the bar for all other
Tesla Raises the Bar for Self-Driving Carmakers Read More +
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