The finite-difference time-domain (FDTD) method is a widespread numerical tool for full-
wave analysis of electromagnetic fields in complex media and for detailed geometries …

Traceability is considered a key requirement for trustworthy artificial intelligence (AI), related
to the need to maintain a complete account of the provenance of data, processes, and …

We present Labkit, a user-friendly Fiji plugin for the segmentation of microscopy image data.
It offers easy to use manual and automated image segmentation routines that can be rapidly …

Motivation Most existing coverage-based (epi) genomic datasets are one-dimensional, but
newer technologies probing interactions (physical, genetic, etc.) produce quantitative maps …

Learn to understand and implement the latest machine learning innovations to improve your
investment performance Machine learning (ML) is changing virtually every aspect of our …

RNA sequencing (RNA-seq) is the leading technology for genome-wide transcript
quantification. However, publicly available RNA-seq data is currently provided mostly in raw …

Existing systems for video-based pose estimation and tracking struggle to perform well on
realistic videos with multiple people and often fail to output body-pose trajectories consistent …

Visual inspection has been the most widely used technique for monitoring concrete
structures in service. Inspectors visually evaluate defects based on experience, skill, and …

Mass spectrometry imaging (MSI) is an emerging technology that holds potential for
improving, biomarker discovery, metabolomics research, pharmaceutical applications and …

Abstract Machine learning (ML) methods are commonly used for pattern recognition in
almost any field one could imagine. ML techniques can also offer a substantial improvement …