Edge AI and Vision Alliance
Brian Dipert is a seasoned professional with extensive experience in the high technology sector, currently serving as a Senior Analyst at BDTI and Editor In Chief at the Edge AI and Vision Alliance since August 2011. In addition, Brian holds the position of Principal at Sierra Media, which specializes in technical writing and product evaluations. Previous roles include contributing editor positions at UBM Electronics, Low-Power Design, AnandTech, and Hearst, as well as a Senior Technical Editor at Canon Communications and Reed Business Information. Brian's editorial career began with a focus on programmable logic devices and design software, expanding into semiconductor memories and multimedia devices. Brian earned a Bachelor of Science in Electrical Engineering from Purdue University between 1984 and 1988.
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Edge AI and Vision Alliance
The primary goal of the Edge AI and Vision Alliance is to inspire and empower engineers to design products that perceive and understand. As product creators increasingly incorporate edge AI and vision capabilities into hardware and software, it has become clear that there is a lack of readily available, practical information to guide them. While edge AI and computer vision research have generated numerous textbooks and research papers, there is very little information available to guide system designers in designing practical computer vision solutions, including the selection of chips, cameras, algorithms, tools, and programming languages. A key means of achieving the goal of inspiring and empowering engineers to design products that perceive and understand using computer vision and other edge AI technologies is providing them with the practical know-how they need in order to effectively incorporate AI technologies into their designs. The Alliance primarily accomplishes this objective via the content on its website, https://www.edge-ai-vision.com, along with its Embedded Vision Summit conferences.