embedded system

Building AI Hardware Expertise: Edge AI Curriculum Design and Implementation in German Universities AAAI 2026 IoTMigrator: LLM-driven Embedded IoT Code Migration across Different OSes for Cloud-device Integration EMNLP 2025 Pareiduo: A Human–LLM Dialogue in Sand NeurIPS 2025 Resource-Efficient Neural Networks for Embedded Systems JMLR 2024 RLtools: A Fast, Portable Deep Reinforcement Learning Library for Continuous Control JMLR 2024 SOI: Scaling Down Computational Complexity by Estimating Partial States of the Model NeurIPS 2024 A Low Latency ASR-Free End to End Spoken Language Understanding System Interspeech 2020 EcoLight: Intersection Control in Developing Regions Under Extreme Budget and Network Constraints NeurIPS 2020 Lightweight Online Noise Reduction on Embedded Devices Using Hierarchical Recurrent Neural Networks Interspeech 2020 QUICKSAL: A small and sparse visual saliency model for efficient inference in resource constrained hardware WACV 2020 An adaptable task-oriented dialog system for stand-alone embedded devices ACL 2019 Memory-Optimal Direct Convolutions for Maximizing Classification Accuracy in Embedded Applications ICML 2019 Neural Network Distillation on IoT Platforms for Sound Event Detection Interspeech 2019 Egocentric Activity Recognition on a Budget CVPR 2018 Real-Time Speech Enhancement with GCC-NMF: Demonstration on the Raspberry Pi and NVIDIA Jetson Interspeech 2017 Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things ICML 2017 Speech Recognition and Understanding on Hardware-Accelerated DSP Interspeech 2017 Towards an Autarkic Embedded Cognitive User Interface Interspeech 2017 Training Quantized Nets: A Deeper Understanding NeurIPS 2017 ASP Vision: Optically Computing the First Layer of Convolutional Neural Networks Using Angle Sensitive Pixels CVPR 2016 Memory-Efficient Modeling and Search Techniques for Hardware ASR Decoders Interspeech 2016 A Massively Parallel Digital Learning Processor NeurIPS 2008