TinyDenoiser: RNN-based Speech Enhancement on a Multi-Core MCU with Mixed FP16-INT8 Post-Training Quantization Manuele Rusci MSCA Post-Doc Fellow the Katholieke
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On-sensor TinyML implementation: Advancing Neuroscience through Wearable Devices” Muhammad Awais Bin Altaf Assistant Professor Lahore University of Management Sciences Artificial
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“Integrate and deploy machine learning at the edge with embedded software containers” Semir Haddad Chief Product and Strategy Officer MicroEJ
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tinyML Talks webcast – UK meetup Bio Photo Voltaics (BPV): from fundamental principles to practical applications Paolo Bombelli Research scientist
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tinyML Talks BuildingTinyML applications with Silicon Labs EFR32MG24 wireless SoC platform Andrew Halstead Senior Field Applications Engineer Silicon Labs This
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“ScaleDowStudy Group: Optimisation Techniques: Knowledge Distillation” Soham Chatterjee Machine learning engineer Sleek Tech Knowledge Distillation is a process of compressing
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“Introduction to ScaleDown: An Open Source Initiative” Archana Vaidheeswaran Data Product Manager Women Who Code ScaleDown is an Open-Source Neural
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“Data techniques that enable tiny computer vision in the real world” Jelmer Neeven Deep learning scientist and software engineer Plumerai
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“Neural network framework using emerging technologies for screening Diabetic Retinopathy” Koteswararao Chilakala Masters graduate in Embedded Systems TU Delft Diabetic
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“Delivering Machine Learning Concepts into K-12 Curriculum” 分享主题：机器学习应用于K12教学现场 Chi-Hung Tseng Director at CAVEDU Education Assistant professor at National Taiwan University
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