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Octonion Releases Expansion Package Dedicated to AI-Based Industrial Condition Monitoring on STMicroelectronics STM32 MCUs

The solution enables industrial-equipment vendors to quickly evaluate Octonion’s embedded AI models, running on-device learning directly on STM32 MCUs Lausanne and Geneva, Switzerland – November 18, 2020 — Octonion SA, a deep tech software company specializing in Artificial Intelligence (AI) at the Edge for industrial-equipment diagnosis, announced an STM32Cube expansion package optimized for STM32L4+ microcontroller-based […]

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

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

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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Intel Executing toward XPU Vision with oneAPI and Intel Server GPU

What’s New: Intel today announced key milestones in its multiyear journey to deliver a mix of architectures with a unified software experience. The company announced the gold release of Intel® oneAPI toolkits coming in December, and new capabilities in its software stack as part of the Intel’s combined hardware and software design approach. Intel also debuted

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

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

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

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

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

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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“AI-powered People Detection Using Time of Flight Data,” a Presentation from Arrow Electronics and Analog Devices

Andrei Cozma, Engineering Manager at Analog Devices, presents the “AI-powered People Detection Using Time of Flight Data” tutorial at the September 2020 Embedded Vision Summit. Arrow Electronics and Analog Devices have teamed up to provide end-users with a Time of Flight development kit that includes hardware, software and algorithms for developing applications that require 3D

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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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Walnut Creek, CA 94596

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