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Intel Smart Edge: Unleashing Services at the Edge

This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. Edge computing is emerging as the next transformational technology across industries—and its rapid growth is only increasing. In fact, Gartner suggests that by 2025, over 75% of data will be created and processed outside centralized data centers. […]

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“Streamlining Development of Edge AI Solutions: A Healthcare Use Case,” a Presentation from Intel

Vaghesh Patel, Senior Software Developer, Adam Bishop, Software Product Manager, and Chen Su, Product Marketing Engineer, all of Intel, co-present the “Streamlining Development of Complete Edge AI Solutions via Customizable Reference Software – A Healthcare Use Case” tutorial at the May 2021 Embedded Vision Summit. The need for IoT edge applications has never been greater.

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Upcoming Tech Talk Discusses Bringing Edge AI to Life

On July 13, 2021 at 8:00 am PT (11:00 am ET), Alliance Member company NXP Semiconductors will deliver the free tech talk “Bringing Edge AI to Life – from Concept to Production”, in collaboration with Arcturus and in partnership with fellow Alliance Member company Arm. From the event page: Often the first step in developing

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Machine Learning Goes Mainstream – NXP’s eIQ ML Software Development Environment Just Got Smarter and Friendlier

This blog post was originally published by NXP Semiconductors. It is reprinted here with the permission of NXP Semiconductors. Edge intelligence is one of the most disruptive innovations since the advent of the Internet of Things (IoT). While the IoT gave rise to billions of smart, connected devices transmitting countless terabytes of sensor data for

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Edge AI and Vision Insights: July 7, 2021 Edition

EVOLVING INDUSTRY STANDARDS MLPerf: An Industry Standard Performance Benchmark Suite for Machine Learning The rapid growth in the use of DNNs has spurred the development of numerous specialized processor architectures and software frameworks. System and application developers need reliable performance metrics to help them select processors and frameworks. Processor and framework developers need reliable performance

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“Why is Taking AI to Production So Difficult?,” a Presentation from Intel and IntelliSite

Ken Mills, CEO of Epic IO, IntelliSite and Broad Sky Networks, Matthew Formica, Director of OpenVINO Product Marketing and Developer Evangelism at Intel, and Aaron Tersteeg, Global Sales Director for AI Edge Inference at Intel, co-present the “Why is Taking AI to Production So Difficult?” tutorial at the May 2021 Embedded Vision Summit. 80% of

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Upcoming Webinar Explores Rapid Machine Learning Model Development

On July 8, 2021 at 8:00 am PT (11:00 am ET), Alliance Member company NXP will deliver the free webinar “Data To Inference In Under 30 Minutes: Machine Learning Development With Nxp eIQ Software”, in partnership with fellow Alliance Member company Au-Zone Technologies. From the event page: No matter your experience level or the data

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“Quickly Measure and Optimize Inference Performance Using Intel DevCloud for the Edge,” a Presentation from Intel

Corey Heath, Software Engineer at Intel, presents the “Quickly Measure and Optimize Inference Performance Using Intel DevCloud for the Edge” tutorial at the May 2021 Embedded Vision Summit. When developing an edge AI solution, DNN inference performance is critical: If your network doesn’t meet your throughput and latency requirements, you’re in trouble. But accurately measuring

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Free Webinar Explores How Battery-powered Intelligent Vision Brings AI to the IoT

On October 5, 2021 at 9 am PT (noon ET), Semir Haddad, Senior Director of Product and Technical Marketing at Eta Compute, will present the free hour webinar “How Battery-powered Intelligent Vision is Bringing AI to the IoT,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page: In

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The Growing Syntiant Core Family

This blog post was originally published at Syntiant’s website. It is reprinted here with the permission of Syntiant. One of my great professional privileges when founding Syntiant’s machine learning stack has been collaborating with a team of electrical engineers in the design, development, verification, and shipping of an ultra-power efficient tensor computation core for Syntiant

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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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