Novel Device and Materials in Emerging Memory for Neuromorphic Computing

Developing TinyML Applications for the Real-World

Battery optimized people counting using FIR and AI

Constrained Object Detection on Microcontrollers with FOMO

OCULI IS PUTTING THE “HUMAN EYE” IN AI

SENeCA: Next generation Neuromorphic Processor for EdgeAI

TinyM^2Net: A Flexible System Algorithm Co-designed Multimodal Learning Framework for Tiny Devices

A Brain-Inspired Low-Dimensional Computing Classifier for Inference on Tiny Devices

Power-of-Two Quantization for Low Bitwidth and Hardware Compliant Neural Networks

An Empirical Study of Low Precision Quantization for TinyML