Jeff Bier, Founder of the Edge AI and Vision Alliance, welcomes attendees to the May 2022 Embedded Vision Summit on May 18, 2022. Bier provides an overview of the edge AI and vision market opportunities, challenges, solutions and trends. He also introduces the Edge AI and Vision Alliance and the resources it offers for both […]
May 2022 Embedded Vision Summit Opening Remarks (May 18) Read More +
Jeff Bier, Founder of the Edge AI and Vision Alliance, welcomes attendees to the May 2022 Embedded Vision Summit on May 17, 2022. Bier provides an overview of the edge AI and vision market opportunities, challenges, solutions and trends. He also introduces the Edge AI and Vision Alliance and the resources it offers for both
May 2022 Embedded Vision Summit Opening Remarks (May 17) Read More +
Ryad Benosman, Professor at the University of Pittsburgh and Adjunct Professor at the CMU Robotics Institute, presents the “Event-Based Neuromorphic Perception and Computation: The Future of Sensing and AI” tutorial at the May 2022 Embedded Vision Summit. We say that today’s mainstream computer vision technologies enable machines to “see,” much as humans do. We refer
Gabriel Costache, Senior R&D Director at Xperi, presents the “New AI Platform Architecture for the Smart Toys of the Future” tutorial at the May 2022 Embedded Vision Summit. From a parent’s perspective, toys should be safe, private, entertaining and educational, with the ability to adapt and grow with the child. For natural interaction, a toy
Alex Thaman, Chief Software Architect at Unity Technologies, presents the “Human-centric Computer Vision with Synthetic Data” tutorial at the May 2022 Embedded Vision Summit. Companies are continuing to accelerate the adoption of computer vision to detect, identify and understand humans from camera imagery. Unity sees these human-centric use cases in a growing range of applications
Manisha Agrawal, Product Marketing Manager at Texas Instruments, presents the “Build Smarter, Safer and Efficient Autonomous Robots and Mobile Machines” tutorial at the May 2022 Embedded Vision Summit. Automation is expanding rapidly from the factory floor to the consumer’s front door. Examples include autonomous mobile robots used in warehouses and last mile delivery and service
Luc Chouinard, AI Specialist and Design Architect at Teledyne Imaging, presents the “Deploying Visual AI on Edge Devices: Lessons From the Real World” tutorial at the May 2022 Embedded Vision Summit. Developing an AI-based edge device is complex, involving hardware, algorithms and software. It requires making many technology-selection decisions and balancing numerous trade-offs. In this
Ganesh Narayanaswamy, Senior Business Marketing Manager in the Industrial and Commercial Solutions Division at onsemi, presents the “New Imager Modules and Tools Enable Bringing High-quality Vision Systems to Market Quickly” tutorial at the May 2022 Embedded Vision Summit. Traditionally, developers have struggled to select the best image sensors and lenses, integrate these with the rest
Ali Osman Örs, Director of AI ML Strategy and Technologies for Edge Processing at NXP Semiconductors, presents the “Intelligent Vision for the Industrial, Automotive and IoT Edge with the i.MX 8M Plus Applications Processor” tutorial at the May 2022 Embedded Vision Summit. Today’s edge-based ML solutions need a powerful multicore processor packed with features and
Jason Corso, CEO of Voxel51, presents the “Creating Better Datasets for Training More Robust Models in FiftyOne” tutorial at the May 2022 Embedded Vision Summit. Nothing hinders the success of computer vision and machine learning systems more than poor-quality data. Gone are the days of focusing only on the model while assuming the data is
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.
Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596
