Processors

“A New Adaptive Module for Vision AI at the Edge,” a Presentation from Xilinx

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Chetan Khona, Director of the Industrial, Vision, Healthcare and Science Markets at Xilinx, presents the “New Adaptive Module for Vision AI at the Edge” tutorial at the May 2021 Embedded Vision Summit. Xilinx Kria System-on-Modules (SOMs) provide a secure, production-ready multi-core Arm and FPGA platform, including memories, power management, and Yocto or Ubuntu Linux to […]

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Fleet Management Technology Leader KeepTruckin Partners With Ambarella on Next-Generation AI Device for Front ADAS, Driver Monitoring and Telematics

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KeepTruckin Selects Ambarella’s Edge AI Vision SoC to Expand Capabilities for Driver Monitoring and Road Facing Camera With Driver Scoring and Active Warnings for Accident Prevention SANTA CLARA, Calif., Aug. 12, 2021 — Ambarella, Inc. (NASDAQ: AMBA), an AI vision silicon company, and KeepTruckin, the leader in fleet management technology, today announced that KeepTruckin selected

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“Case Study: Facial Detection and Recognition for Always-On Applications,” a Presentation from Synopsys

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Jamie Campbell, Product Marketing Manager for Embedded Vision IP at Synopsys, presents the “Case Study: Facial Detection and Recognition for Always-On Applications” tutorial at the May 2021 Embedded Vision Summit. Although there are many applications for low-power facial recognition in edge devices, perhaps the most challenging to design are always-on, battery-powered systems that use facial

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MediaTek Announces Dimensity 920 and Dimensity 810 Chips for 5G Smartphones

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Bringing brilliant imaging, smarter displays and boosted performance together for incredible mobile experiences HSINCHU, Taiwan – August 11, 2021 – MediaTek today announced the new Dimensity 920 and Dimensity 810 chipsets, the latest additions to its Dimensity 5G family. This debut gives smartphone makers the ability to provide boosted performance, brilliant imaging and smarter displays to

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“Visual AI at the Edge: From Surveillance Cameras to People Counters,” a Presentation from Synaptics

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Patrick Worfolk, Senior Vice President and CTO of Synaptics, presents the “Enabling Visual AI at the Edge: From Surveillance Cameras to People Counters” tutorial at the May 2021 Embedded Vision Summit. New AI-at-the-edge processors with improved efficiencies and flexibility are unleashing a huge opportunity to democratize computer vision broadly across all markets, enabling edge AI

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“TinyML Isn’t Thinking Big Enough,” a Presentation from Perceive

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Steve Teig, CEO of Perceive, presents the “TinyML Isn’t Thinking Big Enough” tutorial at the May 2021 Embedded Vision Summit. Today, TinyML focuses primarily on shoehorning neural networks onto microcontrollers or small CPUs but misses the opportunity to transform all of ML because of two unfortunate assumptions: first, that tiny models must make significant performance

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Chips&Media Announces 1 Billion Cumulative Shipments of Multimedia IP

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Seoul, South Korea – August 09, 2021 – Chips & Media, a semiconductor hardware intellectual property (IP) provider targeting multimedia, today reported its remarkable record of 1 billion cumulative shipments containing its multimedia IPs. Chips&Media’s advanced IPs are embedded in various SoC applications, including automotive, AI servers, set-top boxes (STBs), surveillance cameras, digital TVs, intelligent cameras,

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Introducing the EON Tuner: Edge Impulse’s New AutoML Tool for Embedded Machine Learning

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This blog post was originally published at Edge Impulse’s website. It is reprinted here with the permission of Edge Impulse. Today we are excited to announce the launch of Edge Impulse’s new auto machine learning tool, the EON Tuner! The EON Tuner helps you find and select the best embedded machine learning model for your

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“Streamlining Development of Edge AI Applications,” a Presentation from NVIDIA

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Barrie Mullins, Director of Technical Product Marketing at NVIDIA, presents the “Streamlining Development of Edge AI Applications” tutorial at the May 2021 Embedded Vision Summit. Edge AI provides benefits for cost, latency, privacy, and connectivity. Developing and deploying optimized, accurate and effect AI on edge-based systems is a time-consuming, challenging and complex process. In this

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“Deploying an Autonomous Valet Parking Solution with Cameras Using AI,” a Presentation from Nextchip and VADAS

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James Kim, Marketing Team Leader at Nextchip, and Peter Lee, CEO of VADAS, co-present the “Deploying an Autonomous Valet Parking Solution with Cameras Using AI” tutorial at the May 2021 Embedded Vision Summit. In this talk, Nextchip’s Kim explains why his company targeted autonomous valet parking (AVP) with its newest APACHE6 SoC, and how Nextchip

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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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