Cadence Demonstration of Deep Learning-based Image Classification Using XNNC-generated Code

Pulin Desai, Product Marketing Director at Cadence, demonstrates the company's latest embedded vision technologies and products at the January 2018 Consumer Electronics Show. Specifically, Desai demonstrates the company’s Tensilica® Vision P6 DSP in an on-device AI (artificial intelligence) application. A 22nm FDSOI process-based SoC that integrates the Vision P6 is processing code for image classification, […]

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Implications of Adversarial Attacks on AI Vision Systems

This market research report was originally published at Tractica's website. It is reprinted here with the permission of Tractica. A recent paper by MIT students showed how easy it is to trick an artificial intelligence (AI)-based vision system into wrongly classifying 3D objects, when a 3D-printed turtle was identified as a rifle. By adding noise

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NXP Semiconductors and Au-Zone Technologies Demonstration of AI at the Edge

Kyle Fox, Director of i.MX8 Applications Processors at NXP Semiconductors, demonstrates the company's latest embedded vision technologies and products at the January 2018 Consumer Electronics Show. Specifically, Fox demonstrates NXP's scalable AI at the edge, in partnership with Au-Zone Technologies and extending from low cost MCUs to high-end application processors.

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Lattice Semiconductor Demo of Low-power Hardware and Software Face Detection Implementations

Deepak Boppana, Senior Director of Product and Segment Marketing at Lattice Semiconductor, demonstrates the company's latest embedded vision technologies and products at the January 2018 Consumer Electronics Show. Specifically, Boppana demonstrates face detection running on the world’s smallest FPGAs, iCE40 UltraPlus, with power consumption in the range of milliwatts. Lattice's software approach consumes under 5

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Visual Processors and CNN – ST Micro and Videantis Enter the Market

March 1, 2018 – Jon Peddie Research (JPR), the industry's research and consulting firm for graphics and multimedia, today released its latest quarterly report on the Visual Processing Unit (VPU) market. The major interest and activity in the market for Vision Processing Units (VPUs) continues to center on neural networks, both in terms of advances in

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Texas Instruments, RT-RK and StradVision Demonstration of Accelerated Machine Vision

Milan Bjelica, Ph.D., Head of Automotive Innovation at RT-RK, demonstrates the company's latest embedded vision technologies and products at the January 2018 Consumer Electronics Show. Specifically, Bjelica demonstrates RT-RK's embedded platform, powered by Texas Instruments’ Jacinto TDA2x automotive processors, which helps simplify machine vision algorithm deployment across multiple SoCs. These algorithms, provided by StradVision, allow

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Embedded Vision Alliance Announces Keynote Speakers for 2018 Embedded Vision Summit

Industry Leading Event Showcases Computer Vision Innovations at the Edge and in the Cloud WALNUT CREEK, Calif. – February 28, 2018 – The Embedded Vision Alliance® today announced the keynote speakers for the 2018 Embedded Vision Summit, which will take place May 22-24, in Santa Clara, California. Legendary inventor Dean Kamen and globally renowned computer

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Data Sets for Machine Learning Model Training

Deep learning and other machine learning techniques have rapidly become a transformative force in computer vision. Compared to conventional computer vision techniques, machine learning algorithms deliver superior results on functions such as recognizing objects, localizing objects within a frame, and determining which pixels belong to which object. Even problems like optical flow and stereo correspondence,

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Qualcomm Introduces New Snapdragon 700 Mobile Platform Series

New Series Designed to Allow Global OEMs to Deliver Premium Features, such as On-Device Artificial Intelligence, in High-Tier Smartphones and Meet Ever-Increasing Demands of the China Smartphone Ecosystem for More Premium Devices Feb 27, 2018 — BARCELONA, SPAIN — Qualcomm Incorporated (NASDAQ:QCOM) announced that its subsidiary, Qualcomm Technologies, Inc., has introduced the new Qualcomm® Snapdragon™

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Neural Network Inference Engine IP Core Delivers >10 TeraOPS per Watt

VeriSilicon Expands Leadership in Deep Neural Network Processing with Breakthrough NN Compression Technology VIP8000 NN Processor Scaling from 0.5 to 72 TeraOPS Highlights: Scalable from IoT edge always-on to server ASICs with performance from 0.5 to 72 TeraOPS Delivers more than 10 TeraOPS per Watt in 14nm Process Technology Fully programmable processor supports OpenCL, OpenVX, and a wide

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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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