A novel workflow combining comprehensive two-dimensional gas chromatography (GC×GC) with computer vision (CV) was developed to analyze the complex volatile profiles of coffee. By generating composite ...

PCA and K-means clustering applied to Raman and PL imaging reveal structural defects in silicon wafers, enhancing understanding of optoelectronic performance.

Dr. Markus Gershater explains how High Dimensional Experimentation (HDE) revolutionizes assay development by replacing one-factor-at-a-time (OFAT) methods with automated, multivariate workflows.

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

Facing strict privacy laws, telcos use AI-generated synthetic data as a compliant workaround to train ML models without exposing sensitive customer information.

The surplus consists largely of degenerate features—multiple peaks spawned by one metabolite through adducts, in-source ...

A multivariate analysis of electroencephalography activity reveals super-additive enhancements to the neural encoding of audiovisual stimuli, providing new insights into how the brain integrates ...

A new study published in the journal Minerals sheds light on this sweeping shift. Titled Big Data and AI in Geoscience: From ...

Background Severe aortic stenosis (AS) is commonly associated with advanced cardiac damage, including right ventricular dysfunction (RVD), pulmonary hypertension (PH) and tricuspid regurgitation (TR), ...

RNA modification is a key regulator of neuroblastoma oncogenesis and differentiation. NSUN6, a 5-methylcytosine-specific messenger ...