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 […]
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.
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
Autonomous self-driving greenhouse tow-tractors with Cyberworks Robotics retrofit system based on Intel RealSense cameras For Fernlea Flowers, implementing AGV tractors was key to providing a safe working environment for their employees while improving efficiencies and order fulfilment. Retrofitting these vehicles for autonomous driving ensures safe working distances can be maintained without sacrificing efficiency while minimising
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This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. The use of artificial intelligence in the Industrial Internet of Things (IIoT) domain is a complex and fast-moving phenomenon. In just the past few years, AI use cases and applications that were nearly impossible to scale or
Intel Accelerates AI for Industrial Applications Read More +
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