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. […]
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
Upcoming Tech Talk Discusses Bringing Edge AI to Life Read More +
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
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
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
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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Aurelien Lequertier, Lead User Success Engineer at Edge Impulse, presents the “From Start to Finish: Build Industrial Embedded ML Solutions on CPUs and MCUs” tutorial at the May 2021 Embedded Vision Summit. In this in-depth tutorial, you’ll learn how to build real-world embedded machine learning (ML) applications ranging from simple sensor configurations to powerful Linux-based
Zach Shelby, Co-founder and CEO of Edge Impulse, presents the “Data-Driven Engineering Revolution” tutorial at the May 2021 Embedded Vision Summit. In this talk, IoT industry pioneer and Edge Impulse co-founder Zach Shelby shares insights about how machine learning is revolutionizing embedded engineering. Advances in silicon and deep learning are enabling embedded machine learning (TinyML)
“The Data-Driven Engineering Revolution,” a Presentation from Edge Impulse Read More +
El Dorado Hills, CA — June 28, 2021 — Blaize, the AI computing innovator revolutionizing edge and automotive computing solutions, and eYs3D Microelectronics, the image processor solution provider enabling enhanced 3D computer vision for edge AI, today announced a reference design for the Blaize Pathfinder P1600 SoM (system on a module). The Blaize Pathfinder P1600
Wide Range of HPC Systems and Cloud Services Powered by HGX Now Supercharged with NVIDIA A100 80G PCIe, NVIDIA NDR 400G InfiniBand, NVIDIA Magnum IO Monday, June 28, 2021—ISC—NVIDIA today announced it is turbocharging the NVIDIA HGX™ AI supercomputing platform with new technologies that fuse AI with high performance computing, making supercomputing more useful to
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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