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Revolutionizing Embedded Computer Vision with Cutting-Edge AI Processors
Manage episode 422964913 series 3574631
Unlock the secrets to high-efficiency embedded computer vision with industry experts Sandeep Mistry from Arm and Alex Chang from Himax Technology. We promise insights into the TinyML community and the collaborative efforts that are setting new benchmarks in the field. Alex Chang shares an in-depth look at Himax Technology’s cutting-edge AI processors and always-on sensors designed for low-power, battery-operated devices. Learn how Himax’s dual-mode CMOS sensors are revolutionizing applications like doorbells and smart devices, and why efficient AI processing at the edge is increasingly crucial.
Curious about the architecture of state-of-the-art AI processors? Discover the intricate details of a sophisticated Wi-Fi processor designed specifically for AI applications. We explore groundbreaking features such as DC-DC converters, dynamic voltage and frequency scaling (DVFS), and advanced security measures like Physical Unclonable Functions (PUF) and qubit-toe accelerators. You'll also understand how specialized hardware accelerators for motion detection, JPEG decoding, and voice detection enhance comprehensive audio and video AI processing. The development ecosystem, complete with essential software tools and downloadable resources on GitHub, is laid out to ease your implementation process.
Ready to see AI in action? Follow our guided process of porting a pose estimation model to the iMac's YSI2 processor, aimed at tasks like fall detection and human-machine interfaces. We detail how to use a modified version of the UltraLytics GLLv8 postmodel for better accuracy and how to optimize the model for the ARM Ethos U55 MPU using the Ethos U Vella compiler. Witness a live demo showcasing the model’s real-time performance, achieving over 10 frames per second. We wrap up with a discussion on revolutionary partnerships driving Edge AI forward, spotlighting contributions from companies like Syntient, Atreus, ARM, and many others. Don't miss this chance to stay at the forefront of embedded computer vision and Edge AI technology!
Learn more about the EDGE AI FOUNDATION - edgeaifoundation.org
章
1. High Efficiency Embedded Computer Vision (00:00:00)
2. High-Performance AI Processor Ecosystem (00:17:28)
3. Model Porting to iMac Processor (00:25:55)
4. Revolutionizing Edge AI Partnerships (00:41:55)
23 つのエピソード
Manage episode 422964913 series 3574631
Unlock the secrets to high-efficiency embedded computer vision with industry experts Sandeep Mistry from Arm and Alex Chang from Himax Technology. We promise insights into the TinyML community and the collaborative efforts that are setting new benchmarks in the field. Alex Chang shares an in-depth look at Himax Technology’s cutting-edge AI processors and always-on sensors designed for low-power, battery-operated devices. Learn how Himax’s dual-mode CMOS sensors are revolutionizing applications like doorbells and smart devices, and why efficient AI processing at the edge is increasingly crucial.
Curious about the architecture of state-of-the-art AI processors? Discover the intricate details of a sophisticated Wi-Fi processor designed specifically for AI applications. We explore groundbreaking features such as DC-DC converters, dynamic voltage and frequency scaling (DVFS), and advanced security measures like Physical Unclonable Functions (PUF) and qubit-toe accelerators. You'll also understand how specialized hardware accelerators for motion detection, JPEG decoding, and voice detection enhance comprehensive audio and video AI processing. The development ecosystem, complete with essential software tools and downloadable resources on GitHub, is laid out to ease your implementation process.
Ready to see AI in action? Follow our guided process of porting a pose estimation model to the iMac's YSI2 processor, aimed at tasks like fall detection and human-machine interfaces. We detail how to use a modified version of the UltraLytics GLLv8 postmodel for better accuracy and how to optimize the model for the ARM Ethos U55 MPU using the Ethos U Vella compiler. Witness a live demo showcasing the model’s real-time performance, achieving over 10 frames per second. We wrap up with a discussion on revolutionary partnerships driving Edge AI forward, spotlighting contributions from companies like Syntient, Atreus, ARM, and many others. Don't miss this chance to stay at the forefront of embedded computer vision and Edge AI technology!
Learn more about the EDGE AI FOUNDATION - edgeaifoundation.org
章
1. High Efficiency Embedded Computer Vision (00:00:00)
2. High-Performance AI Processor Ecosystem (00:17:28)
3. Model Porting to iMac Processor (00:25:55)
4. Revolutionizing Edge AI Partnerships (00:41:55)
23 つのエピソード
すべてのエピソード
×1 Panel Discussion - EDGE AI TAIPEI - Revolutionizing Edge Computing with AI-Driven Innovations 58:42
1 Revolutionizing Edge Devices with Energy-Efficient Generative AI Techniques 50:19
1 Transforming Edge AI Education: Insights from Harvard's Dr. Vijay Janapa Reddi 59:56
1 Recap of the "Beyond Chatbots - The Journey of Generative AI to the Edge" 8:31
1 Crafting Artistic Images with Embedded AI with Alberto Ancilotto of FBK 31:30
1 Revolutionizing Software Development with GenAI-Powered Edge Solutions with Anirban Bhattacharjee of Wipro 28:43
1 Tomorrow's Edge AI: Cutting-Edge Memory Optimization for Large Language Models with Seonyeong Heo of Kyung Hee University 30:29
1 Revolutionizing Automotive AI with Small Language Models with Alok Ranjan of BOSCH 31:59
1 From tinyML to the edge of AI: Introducing the EDGE AI FOUNDATION 14:09
1 Unveiling the Technological Breakthroughs of ExecuTorch with Meta's Chen Lai 31:24
1 Revolutionizing TinyML: Integrating Large Language Models for Enhanced Efficiency 27:06
1 Harnessing Edge AI: Transforming Industries with Advanced Transformer Models with Dave McCarthy of IDC and Pete Bernard of tinyML Foundation 33:53
1 Transforming the Edge with Generative AI: Unraveling Innovations Beyond Chatbots with Danilo Pau, IEEE Fellow from STMicroelectronics 6:47
1 Revolutionizing Weather Forecasting with Acoustic Smart Technology 25:04
1 Revolutionizing Nano-UAV Technology with Cutting-Edge On-Device Learning Strategies 21:57
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