LETTER FROM THE EDITOR Dear Colleague, The nomination submission deadline for the inaugural AI Innovation Awards, brought to you by the Edge AI and Vision Alliance, is next Sunday, December 31. The awards celebrate groundbreaking end products powered by edge AI and vision technologies. If you know of an end product introduced in the last […]
Edge AI and Vision Insights: December 20, 2023 Edition Read More +
LETTER FROM THE EDITOR Dear Colleague, On Tuesday, February 6, 2024 at 9 am PT, Immervision will deliver the free webinar “Optimizing Camera Design for Machine Perception Via End-to-end Camera Simulation” in partnership with the Edge AI and Vision Alliance. Camera design is an iterative process that minimizes complex cost functions while optimizing the optics,
Edge AI and Vision Insights: December 6, 2023 Edition Read More +
LETTER FROM THE EDITOR Dear Colleague, The 2024 Embedded Vision Summit Call for Presentation Proposals is still open, but not for much longer! I invite you to share your expertise. Our team is curating what will be more than 100 expert sessions and we’d love to see your proposal. From case studies on integrating perceptual
Edge AI and Vision Insights: November 22, 2023 Edition Read More +
LETTER FROM THE EDITOR Dear Colleague, I’m excited to announce that registration is now open for the 2024 Embedded Vision Summit, coming up May 21-23 in Santa Clara, California! It’s the premier conference and tradeshow for innovators incorporating computer vision and visual or perceptual AI in products. This year we’ll be offering a program packed
Edge AI and Vision Insights: November 8, 2023 Edition Read More +
Shuvra Bhattacharyya, Professor at the University of Maryland at College Park, presents the “Learning Compact DNN Models for Embedded Vision” tutorial at the May 2023 Embedded Vision Summit. In this talk, Bhattacharyya explores methods to transform large deep neural network (DNN) models into effective compact models. The transformation process that… “Learning Compact DNN Models for
Independent consultant Mohammad Haghighat presents the “Introduction to Computer Vision with Convolutional Neural Networks” tutorial at the May 2023 Embedded Vision Summit. This presentation covers the basics of computer vision using convolutional neural networks. Haghighat begins by introducing some important conventional computer vision techniques and then transition to explaining the… “Introduction to Computer Vision with
“Introduction to Computer Vision with CNNs,” a Presentation from Mohammad Haghighat Read More +
Parshad Patel, Data Scientist at Yummly, presents the “Selecting Tools for Developing, Monitoring and Maintaining ML Models” tutorial at the May 2023 Embedded Vision Summit. With the boom in tools for developing, monitoring and maintaining ML models, data science teams have many options to choose from. Proprietary tools provided by… “Selecting Tools for Developing, Monitoring
Abdo Babukr, Accelerated Computing Consultant at Wave Spectrum, presents the “Building Accelerated GStreamer Applications for Video and Audio AI,” tutorial at the May 2023 Embedded Vision Summit. GStreamer is a popular open-source framework for creating streaming media applications. Developers often use GStreamer to streamline the development of computer vision and… “Building Accelerated GStreamer Applications for
Md Nasir Uddin Laskar, Staff Machine Learning Engineer at Walmart Global Tech, presents the “Understanding, Selecting and Optimizing Object Detectors for Edge Applications” tutorial at the May 2023 Embedded Vision Summit. Object detectors count objects in a scene and determine their precise locations, while also labeling them. Object detection plays… “Understanding, Selecting and Optimizing Object
Dinesh Jayaraman, Assistant Professor at the University of Pennsylvania, presents the “Vision-language Representations for Robotics” tutorial at the May 2023 Embedded Vision Summit. In what format can an AI system best present what it “sees” in a visual scene to help robots accomplish tasks? This question has been a long-standing… “Vision-language Representations for Robotics,” a
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