tiny ML Summit 2021 https://www.tinyml.org/event/summit-2021 tinyTalks Hardware Optimization Ultra-low Power and Scalable Compute-In-Memory AI Accelerator for Next Generation Edge Inference
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tinyML Research Symposium 2021 https://www.tinyml.org/event/research-symposium-2021/ Smartphone Impostor Detection with Behavioral Data Privacy and Minimalist Hardware Support Guangyuan HU, PhD Student,
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tinyML Research Symposium 2021 https://www.tinyml.org/event/research-symposium-2021 TTVOS: Lightweight Video Object Segmentation with Adaptive Template Attention Module and Temporal Consistency Loss Hyojin
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tinyML Research Symposium 2021 https://www.tinyml.org/event/research-symposium-2021 Characterization of Neural Networks Automatically Mapped on Automotive-grade Microcontrollers Danilo PAU, Technical Director, IEEE and
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tinyML Research Symposium 2021 Memory-Efficient, Limb Position-Aware Hand Gesture Recognition using Hyperdimensional Computing Andy ZHOU, PhD Student, University of California
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tiny ML Summit 2021 https://www.tinyml.org/event/summit-2021 tiny Talks Compute-in-Memory Hardware Accelerator for Always-On TinyML Sameer WADHWA, Senior Director, Qualcomm Always-ON tiny-ML
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tinyML Summit 2021 https://www.tinyml.org/event/summit-2021 tiny Talks Supporting Tensorflow Lite MCU in tiny low power FPGAs Hoon CHOI, Fellow, Lattice Semiconductor
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tinyML Summit 2021 https://www.tinyml.org/event/summit-2021 tinyTalks Hardware Optimization Performing Inference on Binarized Neural Networks with xcore.ai Laszlo KINDRAT, Senior Technologist, XMOS
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tinyML Summit 2021 https://www.tinyml.org/event/summit-2021 CUTIE: Multi-PetaOP/s/W Ternary DNN inference Engine for TinyML Moritz SCHERER, PhD Student, ETH Zürich With the
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tinyML Summit 2021 https://www.tinyml.org/event/summit-2021 Hardware aware Dynamic Inference Technology Urmish THAKKER, Principal Engineer , SambaNova Systems Inc There has been
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