The premier event for product creators incorporating computer vision and AI in products and applications SANTA CLARA, Calif., April 21, 2025 /EIN Newswire/ — The Edge AI and Vision Alliance, a worldwide industry partnership, today announced the full program for the 2025 Embedded Vision Summit, taking place May 20-22 at the Santa Clara Convention Center, […]
South Korea – [April 1st] – NAMUGA announced today it will exhibit at the 2025 Embedded Vision Summit, the premier event for practical, deployable computer vision and AI, for product creators who want to bring visual intelligence to products. This year’s Summit will be May 20 – 22, 2025 in Santa Clara, California. This annual
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Independent AI Engineer Karthik Rao Aroor presents the “Improved Data Sampling Techniques for Training Neural Networks” tutorial at the May 2024 Embedded Vision Summit. For classification problems in which there are equal numbers of samples in each class, Aroor proposes and presents a novel mini-batch sampling approach to train neural… “Improved Data Sampling Techniques for
Anatoly Kotlarsky, Distinguished Member of the Technical Staff in R&D at Zebra Technologies, 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 “Embedded Vision Opportunities and Challenges in Retail Checkout” interview at the May… “Embedded Vision Opportunities and Challenges
Lin Chen, Chief Scientist at Wyze, presents the “Cost-efficient, High-quality AI for Consumer-grade Smart Home Cameras” tutorial at the May 2024 Embedded Vision Summit. In this talk, Chen explains how Wyze delivers robust visual AI at ultra-low cost for millions of consumer smart cameras, and how his company is rapidly… “Cost-efficient, High-quality AI for Consumer-grade
Matthew Pietrzykowski, Principal Data Scientist at Wabtec, presents the “Edge AI Optimization on Rails—Literally” tutorial at the May 2024 Embedded Vision Summit. In this talk, Pietrzykowski shares highlights from his company’s adventures developing computer vision solutions for the rail transportation industry. He begins with an introduction to the types of… “Edge AI Optimization on Rails—Literally,”
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Jacob Marks, Senior ML Engineer and Researcher at Voxel51, presents the “How Large Language Models Are Impacting Computer Vision” tutorial at the May 2024 Embedded Vision Summit. Large language models (LLMs) are revolutionizing the way we interact with computers and the world around us. However, in order to truly understand… “How Large Language Models Are
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Prasad Saranjame, former Head of Physical Security and Resiliency at VMware, presents the “Implementing AI/Computer Vision for Corporate Security Surveillance” tutorial at the May 2024 Embedded Vision Summit. AI-enabled security cameras offer substantial benefits for corporate security and operational efficiency. However, successful deployment requires thoughtful selection of use cases and… “Implementing AI/Computer Vision for Corporate
Guy Lavi, Managing Partner at Vision Elements, presents the “Continual, On-the-fly Learning through Sequential, Lightweight Optimization” tutorial at the May 2024 Embedded Vision Summit. In this presentation, Lavi shows how techniques of sequential optimization are applied to enable continual learning during run-time, as new observations flow in. The lightweight nature… “Continual Learning thru Sequential, Lightweight
Javier Berneche, Senior Machine Learning Engineer at Tryolabs, presents the “Multiple Object Tracking Systems” tutorial at the May 2024 Embedded Vision Summit. Object tracking is an essential capability in many computer vision systems, including applications in fields such as traffic control, self-driving vehicles, sports and more. In this talk, Berneche… “Multi-object Tracking Systems,” a Presentation
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