Edge AI and Vision Alliance

Unikie Demonstration of AI-enabled Real-time Situational Awareness and Smart Spaces

Petri Talala, Vice President and General Manager at Unikie, demonstrates the company’s latest edge AI and vision technologies and products in Business Oulu’s booth at the 2022 Embedded Vision Summit. Specifically, Talala demonstrates an AI-enabled real-time situational awareness solution. Talala demonstrates how software-based edge AI, sensor fusion and a secure connectivity platform can together create […]

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Silo AI Introduction to the Company and Its Capabilities

Juha Peltoniemi, Business Development Executive at Silo AI, demonstrates the company’s latest edge AI and vision technologies and products in Business Oulu’s booth at the 2022 Embedded Vision Summit. Specifically, Peltoniemi introduces the company and its capabilities. Silo AI is one of Europe’s largest private AI labs – a trusted AI partner that brings competitive

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Alif Semiconductor Demonstration of Practical Accelerated AI on Ensemble Microcontrollers

Henrik Flodell from the marketing team at Alif Semiconductor demonstrates the company’s latest edge AI and vision technologies and products in the Arrow Electronics booth at the 2022 Embedded Vision Summit. Specifically, Flodell demonstrates that machine learning on microcontrollers has come a long way by proving that Alif’s Ensemble family of MCU’s and Fusion processors

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“Making Cities More Efficient with Computer Vision and Edge AI,” a Presentation from Hayden AI

Vaibhav Ghadiok, Co-founder and Executive Vice President of Engineering at Hayden AI, presents the “Making Cities More Efficient with Computer Vision and Edge AI” tutorial at the September 2022 Edge AI and Vision Innovation Forum. Vaibhav Ghadiok is an engineering leader with a track record of productizing robotics technology. He has 15+ years of experience

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Edge AI and Vision Insights: September 28, 2022 Edition

DEEP LEARNING FOUNDATIONS AND OPTIMIZATIONS Fundamentals of Training AI Models for Computer Vision and Video Analytics Applications AI has become an important component of computer vision and video analytics applications. But creating AI-based solutions is a challenging process. To build a successful product, it is essential that training a deep neural network results in a

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“Unifying Computer Vision and Natural Language Understanding for Autonomous Systems,” a Presentation from Verizon

Mumtaz Vauhkonen, Lead Distinguished Scientist and Head of Computer Vision for Cognitive AI in AI&D at Verizon, presents the “Unifying Computer Vision and Natural Language Understanding for Autonomous Systems” tutorial at the May 2022 Embedded Vision Summit. As the applications of autonomous systems expand, many such systems need the ability to perceive using both vision

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“Compound CNNs for Improved Classification Accuracy,” a Presentation from Southern Illinois University Carbondale

Spyros Tragoudas, Professor and School Director of Southern Illinois University Carbondale, presents the “Compound CNNs for Improved Classification Accuracy” tutorial at the May 2022 Embedded Vision Summit. In this talk, Tragoudas presents a novel approach to improving the accuracy of convolutional neural networks (CNNs) used for classification. The approach utilizes the confusion matrix of the

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“Strategies and Methods for Sensor Fusion,” a Presentation from Sensor Cortek

Robert Laganiere, CEO of Sensor Cortek, presents the “Strategies and Methods for Sensor Fusion” tutorial at the May 2022 Embedded Vision Summit. Highly autonomous machines require advanced perception capabilities. Autonomous machines are generally equipped with three main sensor types: cameras, lidar and radar. The intrinsic limitations of each sensor affect the performance of the perception

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“Incorporating Continuous User Feedback to Achieve Product Longevity in Chaotic Environments,” a Presentation from Observa

Erik Chelstad, CTO and Co-founder of Observa, presents the “Incorporating Continuous User Feedback to Achieve Product Longevity in Chaotic Environments” tutorial at the May 2022 Embedded Vision Summit. In many computer vision applications, a key challenge is maintaining accuracy when the real world is changing. In this presentation, Chelstad explores techniques for designing hardware and

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“A Cost-Effective Approach to Modeling Object Interactions on the Edge,” a Presentation from Nemo @ Ridecell

Arun Kumar, Perception Engineer at Nemo @ Ridecell, presents the “Cost-Effective Approach to Modeling Object Interactions on the Edge” tutorial at the May 2022 Embedded Vision Summit. Determining bird’s eye view (BEV) object positions and tracks, and modeling the interactions among objects, is vital for many applications, including understanding human interactions for security and road

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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

Phone
Phone: +1 (925) 954-1411
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