Videos

“Memory Allocation in AI and Computer Vision Applications,” a Presentation from CEVA

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Rami Drucker, Machine Learning System Team Leader at CEVA, presents the “Memory Allocation in AI and Computer Vision Applications” tutorial at the September 2020 Embedded Vision Summit. Efficient edge computing is the foundation underlying AI and computer vision applications in autonomous vehicles, cameras, drones and many other applications. Because deep neural networks (DNNs) are memory […]

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“Designing Cameras to Detect the “Invisible”: Handling Edge Cases Without Supervision,” a Presentation from Algolux

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Felix Heide, Co-Founder and Chief Technology Officer at Algolux, presents the “Designing Cameras to Detect the “Invisible”: Handling Edge Cases Without Supervision” tutorial at the September 2020 Embedded Vision Summit. Vision systems play an essential role in safety-critical applications, such as advanced driver assistance systems, autonomous vehicles, video security, and fleet management. However, today’s imaging

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“Enabling Embedded AI for Healthcare,” a Presentation from VeriSilicon

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Shang-Hung Lin, Vice President of Machine Learning and Neural Processor Product Development at VeriSilicon, presents the “Enabling Embedded AI for Healthcare” tutorial at the September 2020 Embedded Vision Summit. Wearable electronics have started to become part of our daily lives, in the form of watches, wristbands, fitness trackers and the like. Advances in sensor design

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“Advancing Embedded Vision for an Autonomous World,” a Presentation from Qualcomm

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Ning Bi, Vice President of Technology at Qualcomm, presents the “Advancing Embedded Vision for an Autonomous World” tutorial at the September 2020 Embedded Vision Summit. Qualcomm Technologies Inc. has revolutionized smartphones, wearables, PCs, smart homes and more. Now Qualcomm has set its sights on vehicles with solutions leveraging Qualcomm’s 5G connectivity, Qualcomm Computer Vision and

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“Benchmarking vs. Benchmarketing: Why Should You Care?,” a Presentation from Qualcomm

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Felix Baum, Director of Product Management at Qualcomm, presents the “Benchmarking vs. Benchmarketing: Why Should You Care?” tutorial at the September 2020 Embedded Vision Summit. Qualcomm is determined to provide best in class AI hardware solutions, enabling companies to leverage AI acceleration in their products. But how can developers know what is the best hardware

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“Qualcomm AI Leading the Way with Distributed Intelligence,” a Presentation from Qualcomm

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Ziad Asghar, Vice President of Product Management at Qualcomm, presents the “Qualcomm AI Leading the Way with Distributed Intelligence” tutorial at the September 2020 Embedded Vision Summit. Qualcomm is leading the way in distributed intelligence. The company’s vision is to make all devices increasingly intelligent, giving them the ability to perceive their surroundings, to reason

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“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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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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