Cristani, C. and Tessera, D. (2026) A Foundational Protocol for Reproducible Visualization in Multivariate Quantum Data. Open Access Library Journal, 13, 1-13. doi: 10.4236/oalib.1114704 .
Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but many systems struggle when real-world data do not match ideal conditions.
Background: Although the integration of self-monitored patient data into mental health care offers potential for advancing personalised approaches, its application in clinical practice remains largely ...
A comprehensive end-to-end project demonstrating t-Distributed Stochastic Neighbor Embedding (t-SNE) for visualizing high-dimensional data using the MNIST handwritten digits dataset. Includes data ...
Rainstorms in Texas earlier this year delayed construction of a major AI data center complex that's key for CoreWeave (CRWV), because of which its completion date was pushed back several months, ...
As AI becomes more common and decisions more data-driven, a new(ish) form of information is on the rise: synthetic data. And some proponents say it promises more privacy and other vital benefits. Data ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. We investigate the pore-scale mechanisms of displacement using cationic surfactant ...
Successful founders are moving beyond data analysis, embracing visualization and intuition for business success. Like Olympic athletes, they use mental rehearsal to rewire their brains, trusting gut ...
Data Formulator enables users to iterate with AI to create rich data visualizations. Users define their visualization goals using blended user interface interactions and natural language inputs, while ...
Abstract: With the widespread adoption of complex SQL queries in modern data environments, traditional data lineage tools face challenges in parsing accuracy and coverage, struggling to meet the ...
The assessment of marine microbial biodiversity is crucial for determining either the environmental status (ecological or biodiversity research) or as a first step in the biodiscovery process ...