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tinyML Talks: Suitability of Forward-Forward and PEPITA Learning to MLCommons-Tiny benchmarks

September 24, 2023 tinyML Benchmarks, forwardforward, Learning, MLCommonsTiny, PEPITA, Suitability, Talks, tinyml

“Suitability of Forward-Forward and PEPITA Learning to MLCommons-Tiny benchmarks” Danilo Pau Technical Director, IEEE, AAIA & ST Fellow System Research

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Applications of Artificial Intelligence and Machine Learning: Select Proceedings of ICAAAIML 2020 (Lecture Notes in Electrical Engineering, 778)

Python Machine Learning: Plenty Of Code Examples To Help You Understand How Everything Works

Intelligent Systems and Machine Learning for Industry (Computational Methods for Industrial Applications)

Machine Learning Paradigms: Advances in Data Analytics (Intelligent Systems Reference Library, 149)

Machine Learning and Artificial Intelligence in Healthcare Systems (Artificial Intelligence in Smart Healthcare Systems)

Enabling Machine Learning Applications in Data Science: Proceedings of Arab Conference for Emerging Technologies 2020 (Algorithms for Intelligent Systems)

Machine Learning for Vision-Based Motion Analysis: Theory and Techniques (Advances in Computer Vision and Pattern Recognition)

tinyML Talks: Suitability of Forward-Forward and PEPITA Learning to MLCommons-Tiny benchmarks

Machine Learning and Deep Learning in Computational Toxicology (Computational Methods in Engineering & the Sciences)

Machine Learning for Causal Inference