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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results