This blog post was originally published at PerceptiLabs’ website. It is reprinted here with the permission of PerceptiLabs. One group of scientists leveraging ML is the Buchser lab at Washington University in Saint Louis School of Medicine in the Department of Genetics. There, Dr. Buchser and his team are working in functional genomics, High-Throughput Screening, […]
Case Study: Genetic Screening Using CNNs in PerceptiLabs Read More +
Raymond Lo, OpenVINO Edge AI Software Evangelist at Intel, presents the “Fearless AI Challenge: Can You Quickly Deploy AI Inference to Billions of Devices?” tutorial at the May 2021 Embedded Vision Summit. Have you ever been inspired by a new AI research paper and tried to replicate it using open source code, only to end
This blog post was originally published at AImotive’s website. It is reprinted here with the permission of AImotive. The aiSim team adapted the Hardware-In-the-Loop testing approach with a unique spin on the concept that allows for testing complete automated driving systems with live simulated sensor data without any prerecorded footage. In this post, we will
End-to-end HiL Testing with aiSim to Maximize Coverage Read More +
Yury Gorbachev, Senior Principal Engineer at Intel, presents the “Three Lessons Learned in Building a Successful AI Inferencing Toolkit—from the OpenVINO Architect” tutorial at the May 2021 Embedded Vision Summit. With OpenVINO, Intel started with a simple vision in mind: “How might we get the best deep learning performance with real-world solutions deployed into production?”
Soren Knudsen, Lead Planner in the OpenVINO Team, and Raymond Lo, OpenVINO Edge AI Software Evangelist, both of Intel, co-present the “Performance, Ease of Development or Features: What Do Inferencing Software Developers Need Most?” tutorial at the May 2021 Embedded Vision Summit. In this fireside chat, Lo and Knudsen discuss what they have learned about
Gary Brown, Director of Edge AI Marketing at Intel, AJ Frazer, Vice President of Business Development at Agent Vi, and Sheldon Fernandez, CEO at DarwinAI, co-present the “For Vision and Edge AI, Are Today’s CPUs Really Old-School?” tutorial at the May 2021 Embedded Vision Summit. As AI applications at the edge become pervasive, there’s growing
Joe Mayberry, Platform Manager for DevCloud for the Edge at Intel, and Dr. Erdem Yörük, CTO at Vispera, co-present the “Shrinking Time to Market and Reducing Costs for Retail Using Intel DevCloud for the Edge,” tutorial at the May 2021 Embedded Vision Summit. As AI applications continue to proliferate and compute moves to the edge,
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
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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