Hoon Choi, Senior Director of Design Engineering at Lattice Semiconductor, presents the “Deep Quantization for Energy Efficient Inference at the Edge” tutorial at the May 2018 Embedded Vision Summit. Intelligence at the edge is different from intelligence in the cloud in terms of requirements for energy, cost, accuracy and latency. Due to limits on battery […]
Sheldon Fernandes, Senior Software and Algorithms Engineer at Lucid VR, presents the “Real-time Calibration for Stereo Cameras Using Machine Learning” tutorial at the May 2018 Embedded Vision Summit. Calibration involves capturing raw data and processing it to get useful information about a camera’s properties. Calibration is essential to ensure that a camera’s output is as
Dr. Takeo Kanade, U.A. and Helen Whitaker Professor at Carnegie Mellon University, presents the “Think Like an Amateur, Do As an Expert: Lessons from a Career in Computer Vision” tutorial at the May 2018 Embedded Vision Summit. In this keynote presentation, Dr. Kanade shares his experiences and lessons learned in developing a vast range of
CANA Deep Neural Network for Robust Perception Recognized as Best Object Recognition Solution Montreal, Canada – June 27, 2018 – Algolux, the leading provider of machine learning optimization platforms for autonomous vision, has won this year’s inaugural AI Breakthrough Award. Algolux was honored with the award for Best Object Recognition Solution for its CANA full-stack
Algolux Wins AI Breakthrough Award for Computer Vision Read More +
This blog post was originally published at Camio's website. It is reprinted here with the permission of Camio. How a top real estate company is leading the security industry towards modernization Securing its 800 properties is cheaper and more effective with Camio’s use of modern cloud infrastructure and AI. In planning video security for 800 properties,
Gian Marco Iodice, Senior Software Engineer in the Machine Learning Group at Arm, presents the “Even Faster CNNs: Exploring the New Class of Winograd Algorithms” tutorial at the May 2018 Embedded Vision Summit. Over the past decade, deep learning networks have revolutionized the task of classification and recognition in a broad area of applications. Deeper
DEEP LEARNING FOR VISION PROCESSING The Caffe2 Framework for Mobile and Embedded Deep Learning Fei Sun, software engineer at Facebook, introduces Caffe2, a new open-source machine learning framework, in this presentation. Sun also explains how Facebook is using Caffe2 to enable computer vision in mobile and embedded devices. Methods for Understanding How Deep Neural Networks
Embedded Vision Insights: June 26, 2018 Edition Read More +
Bruce Maxwell, Director of Research at Tandent Vision Science, presents the “A Physics-based Approach to Removing Shadows and Shading in Real Time” tutorial at the May 2018 Embedded Vision Summit. Shadows cast on ground surfaces can create false features and modify the color and appearance of real features, masking important information used by autonomous vehicles,
Lina Karam, Professor and Computer Engineering Director at Arizona State University, presents the “Generative Sensing: Reliable Recognition from Unreliable Sensor Data” tutorial at the May 2018 Embedded Vision Summit. While deep neural networks (DNNs) perform on par with – or better than – humans on pristine high-resolution images, DNN performance is significantly worse than human
June 19, 2018 — Today we are releasing TensorRT 4 with capabilities for accelerating popular inference applications such as neural machine translation, recommender systems and speech. You also get an easy way to import models from popular deep learning frameworks such as Caffe 2, Chainer, MxNet, Microsoft Cognitive Toolkit and PyTorch through the ONNX format.
NVIDIA Releases TensorRT 4 Read More +
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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