Today's applications require monitoring, logging, configuration, etc. Each of these concerns can be implemented as a ...
Abstract: Large language models have catalyzed an unprece-dented wave in code generation. While achieving significant advances, they blur the distinctions between machine- and human-authored source ...
Train State transition models or pretrain State embedding models. See the State paper. See the Google Colab to train STATE for the Virtual Cell Challenge. Prepares training h5ad files by normalizing ...
A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types in patients with cancers of unknown primary (CUP), according to research ...
Abstract: This article presents a novel learning-based approach for online state estimation in flapping-wing aerial vehicles (FWAVs). Leveraging low-cost magnetic, angular rate, and gravity (MARG) ...
In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, could help orthopedic physicians predict when a patient might encounter a bone ...