Summit

“Ergo: Perceive’s Chip – Data Center-Class Inference in Edge Devices at Ultra-Low Power,” a Presentation from Perceive

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Steve Teig, CEO of Perceive, presents the “Ergo: Perceive’s Chip – Data Center-Class Inference in Edge Devices at Ultra-Low Power” tutorial at the September 2020 Embedded Vision Summit. To date, people seeking to deploy machine learning-based inference within consumer electronics have had only two choices, both unattractive. The first option entails transmitting voluminous raw data, […]

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“Machine-Learning-Based Perception on a Tiny, Low-Power FPGA,” a Presentation from Lattice Semiconductor

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Hoon Choi, Fellow at Lattice Semiconductor, presents the “Machine-Learning-Based Perception on a Tiny, Low-Power FPGA” tutorial at the September 2020 Embedded Vision Summit. In this tutorial, Choi presents a set of machine-learning-based perception solutions that his company implemented on a tiny (5.4 mm2 package), low-power FPGA. These solutions include hand gesture classification, human detection and

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“Cadence Tensilica Edge AI Processor IP Solutions for Broad Market Use Cases,” a Presentation from Cadence

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Pulin Desai, Vision and AI Product Marketing Group Director at Cadence, presents the “Cadence Tensilica Edge AI Processor IP Solutions for Broad Market Use Cases” tutorial at the September 2020 Embedded Vision Summit. In this talk, Desai presents the full range of Cadence Tensilica edge AI processing solutions. These silicon IP-based solutions serve markets from

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“Smarter Manufacturing with Intel’s Deep Learning-Based Machine Vision,” a Presentation from Intel

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Tara K. Thimmanaik, Solutions Architect at Intel, presents the “Smarter Manufacturing with Intel’s Deep Learning-Based Machine Vision” tutorial at the September 2020 Embedded Vision Summit. As demand for smarter and more efficient manufacturing is growing, IoT technologies⁠—including sensors, edge devices, gateways, servers and the cloud⁠—are being used throughout the factory to compute deep learning analytics

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“Acceleration of Deep Learning Using OpenVINO: 3D Seismic Case Study,” a Presentation from Intel

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Manas Pathak, Global AI Lead for Oil and Gas at Intel, presents the “Acceleration of Deep Learning Using OpenVINO: 3D Seismic Case Study” tutorial at the September 2020 Embedded Vision Summit. The use of deep learning for automatic seismic data interpretation is gaining the attention of many researchers across the oil and gas industry. The

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“Federated Edge Computing System Architectures,” a Presentation from Intel

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Vaidyanathan Krishnamoorthy, Edge Inference Solutions Architect at Intel, presents the “Federated Edge Computing System Architectures” tutorial at the September 2020 Embedded Vision Summit. With ever-increasing amounts of video and other sensor data, and growing requirements for privacy and low latency, inferencing at the edge is increasingly attractive. But there are many ways to allocate and

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“Edge Inferencing—Scalability with Intel Vision Accelerator Design Cards,” a Presentation from Intel

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Rama Karamsetty, Global Marketing Manager at Intel, presents the “Edge Inferencing—Scalability with Intel Vision Accelerator Design Cards” tutorial at the September 2020 Embedded Vision Summit. Are you trying to deploy AI solutions at the edge, but running into scalability challenges that are making it difficult to meet your performance, power and price targets without creating

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“Getting Efficient DNN Inference Performance: Is It Really About the TOPS?,” a Presentation from Intel

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Gary Brown, Director of AI Marketing at Intel, presents the “Getting Efficient DNN Inference Performance: Is It Really About the TOPS?” tutorial at the September 2020 Embedded Vision Summit. This presentation looks at how performance is measured among deep learning inference platforms, starting with the simple peak TOPS metric, why it’s used and why it

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“Optimize, Deploy and Scale Edge AI and Video Analytics Applications,” a Presentation from NVIDIA and Amazon

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Edwin Weill, Ph.D., Enterprise Data Scientist at NVIDIA, along with Ryan Vanderwerf, Partner Solutions Architect at Amazon Web Services, present the “Optimize, Deploy and Scale Edge AI and Video Analytics Applications” tutorial at the September 2020 Embedded Vision Summit. In this Over-the-Shoulder tutorial, you will learn how to use AWS… “Optimize, Deploy and Scale Edge

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“Accelerating Time to an Image Processing Prototype,” a Presentation from Avnet

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Adam Taylor, Founder and Principal Consultant at Adiuvo Engineering and Training, along with Dan Rozwood, Engineer, and Kevin Keryk, Software Engineering Manager and Machine Learning Specialist, both of Avnet, present the “Accelerating Time to an Image Processing Prototype” tutorial at the September 2020 Embedded Vision Summit. In this Over-the-Shoulder session, you will learn how you

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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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