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
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The most commonly diagnosed cancer in the US today is skin cancer. There are three main variants: melanoma, basal cell carcinoma (BCC), and squamous cell carcinoma (SCC). Though melanoma only accounts for roughly 1% of all skin
Building Real-time Dermatology Classification with NVIDIA Clara AGX Read More +
Daniel Tsui, Foundational Developer Kit Product Manager at Intel, presents the “Accelerating Edge AI Solution Development with Pre-validated Hardware-Software Kits from Intel Partners” tutorial at the May 2021 Embedded Vision Summit. When developing a new edge AI solution, you want to focus on your system’s unique functionality. In this session, Tsui shares the different foundational
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,
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.
Intel Smart Edge: Unleashing Services at the Edge Read More +
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 +
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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