The growing field of machine unlearning aims to make large language models forget harmful information without retraining them ...
Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...
Abstract: Tiny machine learning (TinyML) is a new frontier of machine learning. By squeezing deep learning models into billions of IoT devices and microcontrollers (MCUs), we expand the scope of ...
Using artificial-intelligence to teach other models can be cheaper and faster than building them from scratch, but this ...