Mohammad Rastegari, Chief Technology Officer at Xnor.ai, presents the "Methods for Creating Efficient Convolutional Neural Networks" tutorial at the May 2019 Embedded Vision Summit. In the past few years, convolutional neural networks (CNNs) have revolutionized several application domains in AI and computer vision. The biggest challenge with state-of-the-art CNNs is the massive compute demands that […]
Steve Teig, Chief Technology Officer at Xperi, presents the "Beyond CNNs for Video: The Chicken vs. the Datacenter" tutorial at the May 2019 Embedded Vision Summit. The recent revolution in computer vision derives much of its success from neural networks for image processing. These networks run predominantly in datacenters, where the training data consists mostly
“Beyond CNNs for Video: The Chicken vs. the Datacenter,” a Presentation from Xperi Read More +
Facundo Parodi, Research and Machine Learning Engineer at Tryolabs, presents the "An Introduction to Machine Learning and How to Teach Machines to See" tutorial at the May 2019 Embedded Vision Summit. What is machine learning? How can machines distinguish a cat from a dog in an image? What’s the magic behind convolutional neural networks? These
Bichen Wu, Graduate Student Researcher in the EECS Department at the University of California, Berkeley, presents the “Enabling Automated Design of Computationally Efficient Deep Neural Networks” tutorial at the May 2019 Embedded Vision Summit. Efficient deep neural networks are increasingly important in the age of AIoT (AI + IoT), in which people hope to deploy
Tim Merel, Managing Director at Digi-Capital, presents the "Reality of Spatial Computing: What’s Working in 2019 (And Where It Goes From Here)" tutorial at the May 2019 Embedded Vision Summit. This presentation gives you hard data and lessons learned on what is and isn’t working in augmented reality and virtual reality today, as well as
Sebastian Günther, Host Systems Competence Center Lead at Allied Vision Technologies, presents the "Accessing Advanced Image Processing Feature Sets with Alvium Cameras Using a V4L2/GenICam Hybrid Driver" tutorial at the May 2019 Embedded Vision Summit. Camera device drivers are a critical component for all embedded vision systems, providing an essential interface between the camera and
Petronel Bigioi, CTO for Imaging at Xperi, presents the "An Ultra-low-power Multi-core Engine for Inference on Encrypted DNNs" tutorial at the May 2019 Embedded Vision Summit. Neural network encryption is a useful method to secure a company’s IP. This presentation focuses on the design details of an ultra-low-power, scalable neural network core capable of performing
Pete Warden, Staff Research Engineer and TensorFlow Lite development lead at Google, presents the "Using TensorFlow Lite to Deploy Deep Learning on Cortex-M Microcontrollers" tutorial at the May 2019 Embedded Vision Summit. Is it possible to deploy deep learning models on low-cost, low-power microcontrollers? While it may be surprising, the answer is a definite “yes”!
Ramesh Raskar, Associate Professor in the MIT Media Lab, presents the "Making the Invisible Visible: Within Our Bodies, the World Around Us and Beyond" tutorial at the May 2019 Embedded Vision Summit. For more information, please see http://cameraculture.media.mit.edu, http://www.media.mit.edu/~raskar and https://professional.mit.edu/programs/short-programs/advances-imaging. The invention of X-ray imaging enabled us to see inside our bodies. The invention
Jeff Bier, Founder of the Embedded Vision Alliance and Co-founder and President of BDTI, presents the "Visual AI Applications and Technologies: Trends and Opportunities" tutorial at the May 2019 Embedded Vision Summit. We’re entering a golden age of computer vision. Rapid advances in enabling technologies, such as algorithms and processors, are making it easier than
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