Brian Dipert

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Lattice Semiconductor Delivers New Machine Learning and Sensor-to- Cloud Security Solutions for Intelligence at the Edge

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iCE40 UltraPlus™ Reference Designs Support LoRa Communication, ECC Security, Signal Aggregation, Machine Learning & Graphics Acceleration iCE40 UltraPlus accelerates innovation in smartphones, wearables, drones, 360 cameras, human-machine interfaces (HMIs), industrial automation and IoT security New reference designs offer additional resources for customers to develop differentiated, innovative products, while meeting fast time-to-market requirements Reference designs take […]

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Bier Goggles: 1000X in 3 Years

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This blog post was originally published at Cadence's website. It is reprinted here with the permission of Cadence. Jeff Bier heads up the Embedded Vision Alliance (and, in his day job, he heads up BDTi). His own presentation was titled 1000X in 3 Years: How Embedded Vision Is Transforming from Exotic to Everyday. His main

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Synopsys Embedded Vision Processor IP Quadruples Neural Network Performance for Machine Learning Applications

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Enhanced DesignWare EV6x Family Delivers Up to 4.5 TeraMACs/sec for Real-Time Vision Processing MOUNTAIN VIEW, Calif., June 26, 2017 /PRNewswire/ — Highlights: DesignWare EV6x Vision Processors integrate up to four 512-bit vector DSPs and a CNN engine, providing scalable performance for a wide range of current and emerging embedded vision applications The EV6x processors, with

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Imaginghub.com Embedded Vision Community Hosts Smart Home Contest

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Imaginghub.com invites embedded vision developers to join their project contest on smart home solutions and win a DJI Mavic Pro drone as the first prize. Ahrensburg, 26 June 2017 – Imaginghub, the online embedded vision community for engineers, software developers, and professional makers, has just started their first project contest around home automation. Contest prizes

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“Designing Scalable Embedded Vision SoCs from Day 1,” a Presentation from Synopsys

Algorithms, Processors, Software, Synopsys, Tools, Videos /

Pierre Paulin, Director of R&D for Embedded Vision at Synopsys, presents the "Designing Scalable Embedded Vision SoCs from Day 1" tutorial at the May 2017 Embedded Vision Summit. Some of the most critical embedded vision design decisions are made early on and affect the design’s ultimate scalability. Will the processor architecture support the needed vision

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“Vision for All?,” a Presentation from Intel

Algorithms, Intel, Processors, Sensors and Cameras, Software, Tools, Videos /

Jeff McVeigh, Vice President in the Software and Services Group and General Manager of visual computing products at Intel, presents the "Vision for All?" tutorial at the May 2017 Embedded Vision Summit. So, you’ve decided to incorporate visual intelligence into your device or application. Will you need a team of computer vision PhDs working for

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CEVA Computer Vision DSP Powers Evomotion ROD-1 360° Video Camera

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Rockchip RV1108 visual processor with CEVA-XM4 DSP handles Evomotion’s high-resolution real-time stitching on-board at 70% lower power consumption compared to CPU/GPU implementations MOUNTAIN VIEW, Calif., – June 21, 2017 – CEVA, Inc. (NASDAQ: CEVA), the leading licensor of signal processing IP for smarter, connected devices, and Evomotion Technology, Ltd, one of the leading deep learning and

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“This Changes Everything — Why Computer Vision Will Be Everywhere,” a Presentation from ARM

Algorithms, Arm, Processors, Sensors and Cameras, Software, Tools, Videos /

Tim Ramsdale, General Manager of the Imaging and Vision Group at ARM, presents the "This Changes Everything — Why Computer Vision Will Be Everywhere" tutorial at the May 2017 Embedded Vision Summit. Computer vision, or teaching machines to see, will be revolutionary – it will change everything. Beyond the obvious markets where it is having

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Embedded Vision Insights: June 20, 2017 Edition

Edge AI and Vision Alliance, Newsletters /

LETTER FROM THE EDITOR Dear Colleague, TensorFlow has become a popular framework for creating machine learning-based computer vision applications, especially for the development of deep neural networks. If you’re planning to develop computer vision applications using deep learning and want to understand how to use TensorFlow to do it, then don’t miss next month's full-day,

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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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