Ian Riches, Executive Director for Global Automotive Practice at Strategy Analytics, presents the "Automotive Vision Systems— Seeing the Way Forward" tutorial at the May 2019 Embedded Vision Summit. It was not long ago that cameras were a rarity on all but luxury cars. In 2018, as many automotive cameras were shipped as were vehicles! Riches' […]
Yohann Tschudi, Technology and Market Analyst at Yole Développement, presents the "AI Is Moving to the Edge—What’s the Impact on the Semiconductor Industry?" tutorial at the May 2019 Embedded Vision Summit. Artificial intelligence is proliferating into numerous edge applications and disrupting numerous industries. Clearly this represents a huge opportunity for technology suppliers. But it can
Raj Talluri, Senior Vice President and General Manager of the Mobile Business Unit at Micron Technology, presents the "Processor Options for Edge Inference: Options and Trade-offs" tutorial at the May 2019 Embedded Vision Summit. Thanks to rapid advances in neural network algorithms, we’ve made tremendous progress in developing robust solutions for numerous computer vision tasks.
Bo Zhu, CTO and Co-founder of BlinkAI Technologies, Dwight Linden, COO and Co-founder of Entropix, Austin Miller, Robotics Engineer at Robotic Materials, Ravi Sahu, CEO of Strayos, and Barbara Rosario, CTO and Co-founder of Vyrill, deliver their Vision Tank finalist presentations at the May 2019 Embedded Vision Summit. The Vision Tank, a unique spin on
May 2019 Embedded Vision Summit Vision Tank Competition Finalist Presentations Read More +
RESOURCE-CONSTRAINED DEEP LEARNING IMPLEMENTATIONS Deep Learning on Arm Cortex-M Microcontrollers Deep learning algorithms are gaining popularity in IoT edge devices due to their human-level accuracy in many tasks, such as image classification and speech recognition. As a result, there is increasing interest in deploying neural networks (NNs) on the types of low-power processors found in
Embedded Vision Insights: June 18, 2019 Edition 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
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
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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