Research

Research Area

• Embedded Artificial Intelligence (On-Device AI & On-Device Machine Learning)

  • Efficient Deep Learning Inference, Training, and Adaptation

  • Embedded Computer Vision, NLP (Natural Language Processing), Reinforcement Learning, Multitask Learning, and Meta Learning

  • On-Device Interpretable and Explainable AI (XAI)

  • On-Device Neural Architecture Search (On-Device NAS)

  • Generative AI on Embedded Systems (Image/Video Generation and Language Models)

  • On-Device Self-Supervised Learning and Continual Learning

  • Online Dataset Adaptation and Neural Architecture Search

  • Real-time Machine Learning

• Embedded, Real-Time, and Sensing Systems

  • Real-time Inference and Training of Machine Learning Algorithms

  • Intelligent Robot Systems

  • Smart Sensing Systems

• Collaborative, Collective, and Federated Learning

  • Multi-Device, Multi-Sensing, and Multi-Modal Learning 

  • Distributed Learning

  • Intermittent (Battery-less) Computing

• AIoT (AI + IoT) and Intelligent Edge

  • Connected and Networked Intelligence

• Deep Learning Compilers

  • Generation and Optimization of Efficient Program Code and Executable Binary for Deep Learning Models

• Mobile Computing and Smart Sensing Systems

  • AI and Machine Learning on Microcontrollers with Extreme Resource Constraints

• Cyber-Physical Systems

  • Deep Controller Theory

• Neural Memory

  • Next-generation Neural Memory Architectures and Algorithms

  • Neural Memory for Machine Reasoning and Artificial General Intelligence

• Confidential On-Device Deep Learning and Machine Learning

  • Enabling secure and confidential deep learning (machine learning) on resource-constrained embedded/mobile/IoT devices

Sponsors

We are very grateful for the support and assistance with our research and projects.