The forensic process is moving away from tangible, observable evidence toward what he calls “invisible evidence”, ...

Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...

For many people, the rise of artificial intelligence–generated images has sparked anxiety—about misinformation, deepfakes and ...

Over a decade ago, before the passage of the UK Modern Slavery Act 2015, data analysts estimated that there were between ...

A former b-school dean lays out two strategic paths. I was asked to be the keynote speaker recently for an important ...

Abstract: Raman spectroscopy is an important analytical technique with advantages in non-destructive and rapid analysis, and it is widely used in fields such as chemical analysis, materials science, ...

Gene regulatory network (GRN) inference is a central task in systems biology. However, due to the noisy nature of gene expression data and the diversity of regulatory structures, accurate GRN ...

Abstract: In crowdsourcing scenarios, we can obtain each instance’s multiple noisy labels from different crowd workers and then infer its unknown ground truth via a ground truth inference method.

Researchers at Texas Children's Neurological Research Institute (NRI) and Baylor College of Medicine have developed a powerful new tool within the Genome Aggregation Database (gnomAD) to sharpen the ...

TUMIX runs a group of heterogeneous agents—text-only Chain-of-Thought, code-executing, web-searching, and guided variants—in parallel, then iterates a small number of refinement rounds where each ...