Summit

“Focus on Value, Not Valuation: A Crash Course in VC Trends and Fundraising in 2022,” a Presentation from HPE Pathfinder

Todd Poole, Director of Venture Investments at HPE Pathfinder, presents the “Focus on Value, Not Valuation: A Crash Course in VC Trends and Fundraising in 2022” tutorial at the May 2022 Embedded Vision Summit. The past year has been record-breaking for founders and funders alike. Over the last 4 quarters, US venture capitalists have deployed […]

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“The Future of Retail is Here, and It’s Powered by Embedded Computer Vision,” a Presentation from Grabango

Will Glaser, Founder and Chief Executive Officer of Grabango, presents the “Future of Retail is Here, and It’s Powered by Embedded Computer Vision” tutorial at the May 2022 Embedded Vision Summit. Now that computers can see, the way people interact with things will never be the same. Grabango’s checkout-free shopping system allows you to shop

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“What Happens When Your Speed of AI Innovation Exceeds Your Ability to See the Regulatory Challenges Ahead?,” a Presentation from Dorsey & Whitney, LLP

Robert Cattanach, Partner and Cybersecurity Team Leader at Dorsey & Whitney, LLP, presents the “What Happens When Your Speed of AI Innovation Exceeds Your Ability to See the Regulatory Challenges Ahead?” tutorial at the May 2022 Embedded Vision Summit. Edge AI and computer vision, if not thoughtfully developed and applied, will trigger extraordinary scrutiny by

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“From ADAS to AD, Processor and Car Architecture Evolution,” a Presentation from Yole Développement

Tom Hackenberg, Principal Analyst for Computing and Software in the Semiconductor, Memory and Computing Division, and Adrien Sanchez, Technology and Market Analyst for Computing and Software, both of Yole Développement, present the “From ADAS to AD, Processor and Car Architecture Evolution” tutorial at the May 2022 Embedded Vision Summit. Few markets are as impactful to

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“Data Versioning: Towards Reproducibility in Machine Learning,” a Presentation from Tryolabs

Nicolás Eiris, Machine Learning Engineer at Tryolabs, presents the “Data Versioning: Towards Reproducibility in Machine Learning” tutorial at the May 2022 Embedded Vision Summit. Surprisingly in 2022, reproducibility is still a big pain point in most data science workflows. A critical element required for reproducibility is version control. Unfortunately, in machine learning there is a

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“Open Standards: Powering the Future of Embedded Vision,” a Presentation from the Khronos Group

Neil Trevett, President of the Khronos Group and Vice President of Developer Ecosystems at NVIDIA, presents the “Open Standards: Powering the Future of Embedded Vision” tutorial at the May 2022 Embedded Vision Summit. Open standards play an important role in enabling interoperability for efficient deployment of vision-based systems. In this session, Trevett shares an update

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“Fundamentals of Training AI Models for Computer Vision and Video Analytics Applications,” a Presentation from NVIDIA

Ekaterina Sirazitdinova, Data Scientist at NVIDIA, presents the “Fundamentals of Training AI Models for Computer Vision and Video Analytics Applications” tutorial at the May 2022 Embedded Vision Summit. AI has become an important component of computer vision and video analytics applications. But creating AI-based solutions is a challenging process. To build a successful product, it

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“Understanding DNN-Based Object Detectors,” a Presentation from Au-Zone Technologies

Azhar Quddus, Senior Computer Vision Engineer at Au-Zone Technologies, presents the “Understanding DNN-Based Object Detectors” tutorial at the May 2022 Embedded Vision Summit. Unlike image classifiers, which merely report on the most important objects within or attributes of an image, object detectors determine where objects of interest are located within an image. Consequently, object detectors

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“How Transformers are Changing the Direction of Deep Learning Architectures,” a Presentation from Synopsys

Tom Michiels, System Architect for DesignWare ARC Processors at Synopsys, presents the “How Transformers are Changing the Direction of Deep Learning Architectures” tutorial at the May 2022 Embedded Vision Summit. The neural network architectures used in embedded real-time applications are evolving quickly. Transformers are a leading deep learning approach for natural language processing and other

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“Introduction to Computer Vision with Convolutional Neural Networks,” a Presentation from Intel

Mohammad Haghighat, Senior AI Software Product Manager at Intel, presents the “Introduction to Computer Vision with Convolutional Neural Networks” tutorial at the May 2022 Embedded Vision Summit. This presentation covers the basics of computer vision using convolutional neural networks. Haghighat begins by introducing some important conventional computer vision techniques and then transitions to explaining the

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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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Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

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Phone: +1 (925) 954-1411
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