System and software developers who want to build their skills in practical computer vision implementation techniques will want to check out the in-depth workshops being presented on May 11th and 13th in Santa Clara, California, in conjunction with the May 12th Embedded Vision Summit. Details on all four of the currently planned workshops are on […]

If you have followed recent news from companies like Baidu, Google, IBM, Microsoft, Qualcomm and Yahoo, you know that deep neural networks (and, in particular, convolutional neural networks) are becoming a very popular means of extracting meaning from images. If you want to understand the practical aspects of using neural networks for vision, you will

System and software developers who want to build their skills in practical computer vision implementation techniques will want to check out the in-depth workshops being presented on May 11th and 13th in Santa Clara, California, in conjunction with the May 12th Embedded Vision Summit. Details on three of the workshops, including online registration facilities, are

Added to this year's Embedded Vision Summit are sessions focused on computer vision business opportunities, market trends, and applications. They're tailored for engineering and corporate management attendees, along with analysts, editors, and others who don't require in-depth technology details but are instead interested in application and market overview information and other bigger-picture topics. The first

Last Friday, I had the pleasure of telling you about the first scheduled keynote presenter for May's Embedded Vision Summit, Ren Wu, distinguished scientist at Baidu's Institute of Deep Learning. Today, I'm pleased to tell you about the other scheduled keynote presenter, Mike Aldred, Electronics Lead at Dyson. Mike obtained a Ph.D. in Robotics at

Baidu is a company whose name may be unfamiliar to you…unless you speak Chinese, that is, in which case it'll likely be very recognizable. As China's leading search engine, according to Wikipedia, the company's focus is not only on indexing website text but also multimedia content, such as audio files, still images and video clips.