Abstract: Robot localization is a critical challenge present in autonomous robots to estimate their position within the environment, ensuring accurate navigation and task execution. This research ...
Abstract: Federated Learning (FL) has emerged as a promising framework for distributed machine learning, enabling collaborative model training without sharing local data, thereby preserving privacy ...
Sahil Dua discusses the critical role of embedding models in powering search and RAG applications at scale. He explains the ...