*Every one of their newsletters reads like this: just a ton of tall-weeds tech weirdness. Making AR and VR look pretty old-fashioned. Like: why put the machine on some person's face, why not just have the machine look at stuff?
Coming up:
• Deep Learning for Computer Vision with TensorFlow 2.0 is the Embedded Vision Alliance's in-person, hands-on technical training class. The next session will take place November 1 in Fremont, California, hosted by Alliance Member company Mentor. This one-day hands-on overview will give you the critical knowledge you need to develop deep learning computer vision applications with TensorFlow. Details, including online registration, can be found here.
• The Embedded Vision Alliance will deliver the free webinar "Key Trends in the Deployment of Visual AI" on October 16. Jeff Bier, founder of the Alliance and co-founder and President of BDTI, will examine the four most important trends that are fueling the proliferation of vision applications and influencing the future of the industry. He will explain what's fueling each of these key trends, and will highlight key implications for technology suppliers, solution developers and end-users. He will also provide technology and application examples illustrating each of these trends, including spotlighting the winners of the Alliance's yearly Vision Product of the Year Awards. Two webinar sessions will be offered: the first will take place at 9 am Pacific Time (noon Eastern Time), timed for attendees in Europe and the Americas, while the second, at 6 pm Pacific Time (9 am China Standard Time on October 17), is intended for attendees in Asia. To register, please see the event page for the session you're interested in.
Stop by the Embedded Vision Alliance website today to check out this interesting new content:
• Embedded Vision Summit
◦ Newly published presentation recordings include:
▪ "Training Data for Your CNN: What You Need and How to Get It" from Aquifi
▪ "Tools and Techniques for Optimizing DNNs on Arm-based Processors with Au-Zone's DeepView ML Toolkit" from Au-Zone Technologies
▪ "Using Blockchain to Create Trusted Embedded Vision Systems" from Basler
▪ "Hardware-aware Deep Neural Network Design" from Facebook
▪ "REAL3 Time of Flight: A New Differentiator for Mobile Phones" from Infineon Technologies
▪ "Fast and Accurate RMNet: A New Neural Network for Embedded Vision" from Intel
▪ "Pioneering Analog Compute for Edge AI to Overcome the End of Digital Scaling" from Mythic
▪ "Efficient Deployment of Quantized ML Models at the Edge Using Snapdragon SoCs" from Qualcomm
▪ "The Xilinx AI Engine: High Performance with Future-proof Architecture Adaptability" from Xilinx
◦ Additional presentation recordings (nearly 100 in total), along with nearly 50 demonstration videos, will follow in the coming weeks. Bookmark and regularly visit the 2019 Summit Replay page to access new content as it appears.
• Blog Posts and Market Research Reports
◦ Teleidoscope's latest post in its region of interest (ROI) tracker series demonstrates the implementation of the ROI approach for camera effects.
◦ Tractica's latest market research reports discuss how robots are learning to recognize faces and objects, as well as quantifying the rapid anticipated market growth for the smart augmented reality glasses market.
• Embedded Vision Company and Product Announcements
◦ Now available as design-in samples are Basler's boost camera and CXP-12 interface card.
◦ Huawei has launched Ascend 910, a powerful AI processor, and MindSpore, an all-scenario AI computing framework.
◦ Intel has disclosed new details of its latest AI processors for data centers.
◦ Synopsys' free upcoming one-day ARC Processor Summit will detail the latest technologies in trendsetting applications and markets.
◦ Vision Components is co-founder of a new business venture, Carrida Technologies.
For more visual AI and embedded vision information, check out the news area of the Embedded Vision Alliance website, along with the market analysis, technical article and video sections. And don't forget to subscribe to the Alliance's site-wide RSS feed, along with its Facebook, LinkedIn Group and Twitter social media channels, to receive notification whenever new content is published.
Please forward this email to your colleagues, and encourage them to register in order to receive their own copy in the future. Thanks as always for your support of the Embedded Vision Alliance, and for your interest in and contributions to embedded vision technologies, products and applications!
Regards,
Brian Dipert
Editor-In-Chief, Embedded Vision Alliance
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