Energy-efficient adaptive keyword spotting using slimmable convolutional neural networks

On-Sensors AI with Novel ST Sensors: Performance and Evaluation in a Real Application Scenario

Tiny decomposition of complex neural networks for heterogeneous microcontrollers

PhiNets

Complexity bounded classification of fish-eye distorted objects with micro-controllers

Efficient people counting in thermal images

Mixed Intra Layer CNN Quantization for CIM Architectures

LDP: Learnable Dynamic Precision for Efficient Deep Neural Network Training and Inference

Tiny-SLU: An End-to-End Spoken Language Understanding for Embedded Devices

Deploying ML Applications at the Edge with AKIDA and MetaTF