Quantization-Guided Training for Compact TinyML Models

Compiler Toolchains for Deep Learning Workloads on Embedded Platforms

hls4ml: An Open-Source Co-Design Workflow to Empower Scientific Low-Power Machine Learning Devices

Memory-Efficient, Limb Position-Aware Hand Gesture Recognition using Hyperdimensional Computing

Characterization of Neural Networks Automatically Mapped on Automotive-grade Microcontrollers

Hardware Aware Training for Efficient Keyword Spotting on General Purpose and Specialized Hardware

TTVOS: Lightweight Video Object Segmentation with Adaptive Template Attention Module and Temporal Consistency Loss

Smartphone Impostor Detection with Behavioral Data Privacy and Minimalist Hardware Support

tinyML Research Symposium

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