Summit

“TinyML Isn’t Thinking Big Enough,” a Presentation from Perceive

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Steve Teig, CEO of Perceive, presents the “TinyML Isn’t Thinking Big Enough” tutorial at the May 2021 Embedded Vision Summit. Today, TinyML focuses primarily on shoehorning neural networks onto microcontrollers or small CPUs but misses the opportunity to transform all of ML because of two unfortunate assumptions: first, that tiny models must make significant performance […]

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“Streamlining Development of Edge AI Applications,” a Presentation from NVIDIA

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Barrie Mullins, Director of Technical Product Marketing at NVIDIA, presents the “Streamlining Development of Edge AI Applications” tutorial at the May 2021 Embedded Vision Summit. Edge AI provides benefits for cost, latency, privacy, and connectivity. Developing and deploying optimized, accurate and effect AI on edge-based systems is a time-consuming, challenging and complex process. In this

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“Deploying an Autonomous Valet Parking Solution with Cameras Using AI,” a Presentation from Nextchip and VADAS

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James Kim, Marketing Team Leader at Nextchip, and Peter Lee, CEO of VADAS, co-present the “Deploying an Autonomous Valet Parking Solution with Cameras Using AI” tutorial at the May 2021 Embedded Vision Summit. In this talk, Nextchip’s Kim explains why his company targeted autonomous valet parking (AVP) with its newest APACHE6 SoC, and how Nextchip

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“DepthAI: Embedded, Performant Spatial AI and Computer Vision,” a Presentation from Luxonis

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Brandon Gilles, CEO of Luxonis, presents the “DepthAI: Embedded, Performant Spatial AI and Computer Vision” tutorial at the May 2021 Embedded Vision Summit. Performant spatial AI and CV enables human-like perception and real-time interaction with the world. But embedding performant spatial AI and CV into actual products is difficult, costly and time-consuming. DepthAI makes building

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“Flexible Machine Learning Solutions with Lattice FPGAs,” a Presentation from Lattice Semiconductor

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Sreepada Hegade, Senior Manager for ML Software and Solutions at Lattice Semiconductor, presents the “Flexible Machine Learning Solutions with Lattice FPGAs” tutorial at the May 2021 Embedded Vision Summit. The ability to perform neural network inference in resource-constrained devices is fueling the growth of machine learning at the edge. But application solutions require more than

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“Productizing Edge AI Across Applications and Verticals: Case Study and Insights,” a Presentation from Hailo and NEC

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Orr Danon, CEO of Hailo, and Tsvi Lev, Managing Director of the NEC Research Center Israel and Corporate Vice President of NEC, co-present the “What We Need to Transform Lives and Industries with On-Device AI, Cloud and 5G” tutorial at the May 2021 Embedded Vision Summit. As edge AI is growing across different markets and

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“SensPro2 Highly Scalable Sensor Hub DSP for Computer Vision, AI and Multi-sensor Fusion for Contextually Aware Devices,” a Presentation from CEVA

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Gil Abraham, Director of Business Development in the Vision and AI Business Unit at CEVA, presents the “SensPro2 Highly Scalable Sensor Hub DSP for Computer Vision, AI and Multi-sensor Fusion for Contextually Aware Devices” tutorial at the May 2021 Embedded Vision Summit. Contextual awareness is the ability of a system to gather information about its

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“Vision and AI DSPs for Ultra-High-End and Always-On Applications,” a Presentation from Cadence

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Pulin Desai, Product Marketing Group Director at Cadence Design Systems, presents the “Vision and AI DSPs for Ultra-High-End and Always-On Applications” tutorial at the May 2021 Embedded Vision Summit. The number and resolution of image sensors continue to increase in mobile, AR/VR, automotive, drone, mobile, and robotics platforms, which also use a mix of other

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“Uncode AI: Code-free Development, Delivery and Maintenance of Edge AI Applications,” a Presentation from Blaize

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Dmitry Zakharchenko, Vice President of Research and Product Development at Blaize, presents the “Uncode AI: Code-free Development, Delivery and Maintenance of Edge AI Applications” tutorial at the May 2021 Embedded Vision Summit. Software is becoming the critical differentiator in AI edge app development and adoption. This presentation examines a new approach for enterprises challenged to

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“A Mask Detection Smart Camera Using the NVIDIA Jetson Nano: System Architecture and Developer Experience,” a Presentation from BDTI and Tryolabs

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Evan Juras, Computer Vision Engineer at BDTI, and Braulio Ríos, Machine Learning Engineer at Tryolabs, co-present the “A Mask Detection Smart Camera Using the NVIDIA Jetson Nano: System Architecture and Developer Experience” tutorial at the May 2021 Embedded Vision Summit. MaskCam is a prototype reference design for a smart camera that counts the number of

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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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