Abstract: Seismic fault interpretation is a crucial task for hydrocarbon reservoir characterization, CO2 geological storage, and geothermal energy evaluation. Deep learning (DL)-based methods have ...

Center for Neurology, The Thirteenth People’s Hospital of Chongqing, Chongqing, China The rapid growth of computational neuroscience and brain–computer interface (BCI) technologies require efficient, ...

While Data Science is used for interpretation, visualization, and extracting key insights, AI is aimed at creating intelligent systems similar to humans. Data Science offers robust, data-backed ...

This pie chart illustrates the distribution of visualization tools in the FigureYa resource package across three dimensions: research type (outer ring), analysis method (middle ring), and output ...

AI optimizes chromatography by enhancing method development, peak detection, and data interpretation, leveraging large datasets for improved accuracy and efficiency. ML models surpass traditional ...

Balancing growth against risk is nothing new to finance chiefs, but as CFOs look to navigate continuing economic uncertainty, alongside regulatory change, it’s a costly challenge that’s only grown ...

ABSTRACT: Water is a vital resource for sustaining life and maintaining ecological balance. In recent times, global water demand has increased due to population growth and economic development, ...

Late-Breaking Data Presented at Society of NeuroInterventional Surgery Annual Meeting Demonstrate Excellent Reperfusion Results and Unparalleled Safety with the Zoom System for Ischemic Stroke ...

Abstract: The seismic stratigraphic interpretation of clinothems is essential for regional basin stratigraphy analysis, hydrocarbon reservoir evaluation, and basin evolutionary history reconstruction.

AI’s future doesn’t depend on ever-larger models but on better, human-curated data. AI risks bias, hallucinations and irrelevance without expert oversight and high-quality training sets. AI is a paper ...