LETTER FROM THE EDITOR Dear Colleague, I’m delighted to announce that the 2025 AI Innovation Awards are now open for nominations. Now in their second year, the AI Innovation Awards recognize innovative new products powered by edge AI and vision technologies. Nominating a product is fast, easy and free! The AI Innovation Awards are brought […]
Edge AI and Vision Insights: December 4, 2024 Read More +
LETTER FROM THE EDITOR Dear Colleague, If your company introduced a building-block product enabling computer vision or edge AI in 2024, we hope you’ll consider entering it in the 2025 Edge AI and Vision Product of the Year Awards competition! These Awards, open only to Alliance Member companies, give the winners industry-wide recognition as top
Edge AI and Vision Insights: November 20, 2024 Read More +
The Edge AI and Vision Alliance 2025 CES Directory for game-changing computer vision and AI technologies Many Alliance Member companies will be showing off the latest building-block technologies that enable new capabilities for machines that see! CES is huge so we’ve created a handy checklist of these companies and where to find them including how
Alliance Members at 2025 CES Read More +
LETTER FROM THE EDITOR Dear Colleague, On Tuesday, December 3, 2024 at 9 am PT, the Yole Group will present the free webinar “The CMOS Image Sensor Industry: Technology Trends and Emerging Applications” in partnership with the Edge AI and Vision Alliance. The CMOS image sensor (CIS) market, which is projected to grow at a
Edge AI and Vision Insights: November 6, 2024 Read More +
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 networks using gradient descent. His
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 2024 Embedded Vision Summit. In
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 expanding these capabilities. He begins
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 machine perception problems encountered in
“Edge AI Optimization on Rails—Literally,” a Presentation from Wabtec Read More +
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 the world, LLM-powered agents need
“How Large Language Models Are Impacting Computer Vision,” a Presentation from Voxel51 Read More +
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 meticulous attention to managing the
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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