From Text To Tables: Why Structured Data Is AI’s Next $600 Billion Frontier

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
MIT Technology Review

Using unstructured data to fuel enterprise AI success

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...
Frontiers

Uncovering antimicrobial resistance structures in Staphylococcus spp. from companion animals: latent class analysis of isolates from dogs

The final, formatted version of the article will be published soon. Antimicrobial resistance (AMR) in companion animals poses therapeutic challenges and potential zoonotic risks. Staphylococcus spp., ...
Mint

Cognizant faces US class-action lawsuits over TriZetto data breach

BENGALURU: Cognizant Technology Solutions Corp is facing multiple class action lawsuits in the US alleging that its healthcare claims processing unit, TriZetto, failed to make timely disclosures after ...
GitHub

Production-Ready Data Science Code Examples

Click the "Fork" button at the top of this page This creates your own copy at: github.com/YOUR_USERNAME/production-ready-data-science-code Clone your fork: ...
IEEE

Adaptive Weighted Double Uncertainty Incrementally Active Learning for Multi-class Imbalanced Data

Abstract: Active learning can effectively reduce the cost of labeling while enhancing model classification performance. However, prior studies have indicated that imbalanced class distributions ...