Edge AI and Vision Alliance

“Real-time Retail Product Classification on Android Devices Inside the Caper AI Cart,” a Presentation from Instacart

David Scott, Senior Machine Learning Engineer at Instacart, presents the “Real-time Retail Product Classification on Android Devices Inside the Caper AI Cart” tutorial at the May 2024 Embedded Vision Summit. In this talk, Scott explores deploying an embedded computer vision model on Android devices for real-time product classification with the… “Real-time Retail Product Classification on […]

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“Future Radar Technologies and Applications,” a Presentation from IDTechEx

James Jeffs, Senior Technology Analyst at IDTechEx, presents the “Future Radar Technologies and Applications” tutorial at the May 2024 Embedded Vision Summit. Radar has value in a wide range of industries that are embracing automation, from delivery drones to agriculture, each requiring different performance attributes. Autonomous vehicles are perhaps one… “Future Radar Technologies and Applications,”

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Edge AI and Vision Insights: September 25, 2024

OPTIMIZING DEEP NEURAL NETWORK EFFICIENCY DNN Quantization: Theory to Practice Deep neural networks, widely used in computer vision tasks, require substantial computation and memory resources, making it challenging to run these models on resource-constrained devices. Quantization involves modifying DNNs to use smaller data types (e.g., switching from 32-bit floating-point values to 8-bit integer values). Quantization

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“Ten Commandments for Building a Vision AI Product,” a Presentation from Hayden AI

Vaibhav Ghadiok, Chief Technology Officer of Hayden AI, presents the “Ten Commandments for Building a Vision AI Product” tutorial at the May 2024 Embedded Vision Summit. Over the past three decades, the convergence of machine learning, big data and enhanced computing power has transformed the field of computer vision from… “Ten Commandments for Building a

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“Why Amazon Failed and the Future of Computer Vision in Retail,” an Interview with Grabango

Will Glaser, Founder and CEO of Grabango, talks with Junko Yoshida, Editor-in-Chief of the Ojo-Yoshida Report, for the “Why Amazon Failed and the Future of Computer Vision in Retail” interview at the May 2024 Embedded Vision Summit. Grabango’s checkout-free shopping system allows you to shop in grocery and convenience stores… “Why Amazon Failed and the

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“Practical Strategies for Successful Implementation and Deployment of AI-based Solutions,” a Presentation from Globus Medical

Ritesh Agarwal, Computer Vision Lead at Globus Medical, presents the “Practical Strategies for Successful Implementation and Deployment of AI-based Solutions” tutorial at the May 2024 Embedded Vision Summit. AI models that produce accurate results on test data are a necessary component of successful applications, but by themselves they are insufficient.… “Practical Strategies for Successful Implementation

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“Using Synthetic Data to Train Computer Vision Models,” a Presentation from Geisel Software

Brian Geisel, CEO of Geisel Software, presents the “Using Synthetic Data to Train Computer Vision Models” tutorial at the May 2024 Embedded Vision Summit. Developers of machine-learning based computer vision applications often face difficulties obtaining sufficient data for training and evaluating models. In this talk, Geisel explores the use of… “Using Synthetic Data to Train

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“Introduction to Computer Vision with Convolutional Neural Networks,” a Presentation from eBay

Mohammad Haghighat, Senior Manager for CoreAI at eBay, presents the “Introduction to Computer Vision with Convolutional Neural Networks” tutorial at the May 2024 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… “Introduction to Computer Vision with

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“Building Meaningful Products Using Complex Sensor Systems,” a Presentation from DEKA Research & Development

Dirk van der Merwe, Autonomous Robotics Lead at DEKA Research & Development, presents the “Building Meaningful Products Using Complex Sensor Systems” tutorial at the May 2024 Embedded Vision Summit. Most complex sensor systems begin with a simple goal—ensuring safety and efficiency. Whether it’s avoiding collisions between vehicles or predicting future… “Building Meaningful Products Using Complex

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“Latest Trends in AI Semiconductors,” an Interview with D2D Advisory

Jay Goldberg, CEO and Founder of D2D Advisory, talks with Phil Lapsley, Co-Founder and Vice President of BDTI and Vice President of Business Development at the Edge AI and Vision Alliance, for the “Latest Trends in AI Semiconductors” interview at the May 2024 Embedded Vision Summit. In this wide-ranging, insightful… “Latest Trends in AI Semiconductors,”

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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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Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

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Phone: +1 (925) 954-1411
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