Artificial intelligence is increasingly used to integrate and analyze multiple types of data formats, such as text, images, ...
Abstract: In this brief, we propose a pipeline for machine learning on CMOS Oscillator Networks (OscNet), inspired by human visual system development. By relying solely on forward propagation, OscNet ...
The R package decemedip is a novel computational paradigm developed for inferring the relative abundances of cell types and tissues from tissue bulk or circulating cell-free DNA (cfDNA) measure by ...
Circular RNAs (circRNAs) are a unique class of non-coding RNAs with stable covalently closed structures that play key regulatory roles in gene expression and drug response. However, experimental ...
Abstract: With the development of unmanned aerial vehicle (UAV) technology, UAV-enabled vehicular edge computing (VEC) has emerged as a powerful computational paradigm that improves edge resource ...
A team led by Cleveland Clinic's Kenneth Merz, Ph.D., and IBM's Antonio Mezzacapo, Ph.D., is developing quantum computing methods to simulate and study supramolecular processes that guide how entire ...