Because we believe the goal of a deep learning ... any external application. You can visualize your training and validation metrics updating in real-time and analyze the lifelong progression or recent ...

Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan These authors contributed equally to this work. Correspondence should be addressed to: Dr.

Researchers have successfully employed an algorithm ... and PRINT, a deep-learning-based method to detect these types of footprints of DNA-protein interactions. Using data from 170 human liver ...

This site displays a prototype of a “Web 2.0” version of the daily Federal Register. It is not an official legal edition of the Federal Register, and does not replace the official print version or the ...

Abstract: The parallel efficient global optimization (EGO) algorithm was developed to leverage the rapid advancements in high-performance computing. However, conventional parallel EGO algorithm based ...

Ambisonic rendering is a way to simulate the precise locations of sounds in 3D, using an array of loudspeakers. The ambisonics algorithm has allowed researchers to create rich virtual "soundscapes," ...

This review concentrates on the application of AI in TCM target prediction, including multi-omics techniques, TCM-specialized databases, machine learning (ML), deep learning (DL ... optimization of ...

In order to address this, we developed a deep learning-assisted quasi-analytical algorithm (QAA-DL) for estimating IOPs in inland and coastal waters. This method enhances traditional QAA procedures by ...

DROID is a large-scale, in-the-wild robot manipulation dataset. This codebase is built as a fork of robomimic, a popular repository for imitation learning algorithm development. For more information ...