Hardware-efficient tractable probabilistic inference for TinyML Neurosymbolic AI applications

Documenti analoghi

• On Hardware-efficient Inference in Probabilistic Circuits
  di: Yao, Lingyun, et al.
  Pubblicazione: (2024)
• U-TOE: Universal TinyML On-board Evaluation Toolkit for Low-Power IoT
  di: Huang, Zhaolan, et al.
  Pubblicazione: (2023)
• msf-CNN: Patch-based Multi-Stage Fusion with Convolutional Neural Networks for TinyML
  di: Huang, Zhaolan, et al.
  Pubblicazione: (2025)
• Optimizing LoRa for Edge Computing with TinyML Pipeline for Channel Hopping
  di: Grunewald, Marla, et al.
  Pubblicazione: (2024)
• Hardware optimization on Android for inference of AI models
  di: Gherasim, Iulius, et al.
  Pubblicazione: (2025)