EDGE AI FOUNDATION

EDGE AI POD

Discover the cutting-edge world of energy-efficient machine learning, edge AI, hardware accelerators, software algorithms, and real-world use cases with this podcast feed from all things in the world's largest EDGE AI community.  These are shows like EDGE AI Talks, EDGE AI Blueprints as well as EDGE AI FOUNDATION event talks on a range of research, product and business topics. Join us to stay informed and inspired!

Author

EDGE AI FOUNDATION

Category

Technology

Podcast website

edgeaifoundation.org

Latest episode

Jul 9, 2026

Where to listen?

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Episodes

Optimization Techniques for Powerful yet Tiny Machine Learning Models 07.06.2024

Can machine learning models be both powerful and tiny? Join us in this episode of TinyML Talks, where we uncover groundbreaking techniques for making machine learning more efficient through high-level synthesis. We sit down with Russell Clayne, Technical Director at Siemens EDA, who guides us through the intricate process of pruning convolutional and deep neural networks. Discover how post-trainin...

Revolutionizing Embedded Computer Vision with Cutting-Edge AI Processors 31.05.2024

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, b...

Pioneering Personalized Medicine with Advanced AI Algorithms 16.05.2024

Unlock the transformative potential of AI in healthcare with Jim Wang and Steve Yu from the University of Sydney and listen to their revelatory insights on TinyML Network models in medical devices. Our latest episode is a treasure trove of innovation, where machine learning meets wearable technology to redefine patient care. From the pressing need for low latency in critical health monitoring to t...

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