How Google’s Lang Extract Turns Messy Documents into Trustworthy JSON and Interactive HTML

Google’s Lang Extract uses prompts with Gemini or GPT, works locally or in the cloud, and helps you ship reliable, traceable data faster.
Tech Xplore

Unlocking vast lithium stores: Faster, cleaner method extracts critical mineral from low-grade brines

Demand for lithium is skyrocketing as factories across the world churn out electric vehicles and the massive batteries that make wind turbines and solar panels reliable sources of energy.
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 is essential for moving from AI experiments to measurable results. In ...
Treasure Coast Newspapers

Questa launches a new privacy focused AI Assistant to get insights from business files without any AI Training on them

After the Blackbox anonymization, users can query and find deeply intelligent answers in their own excel, word or pdf files using Novara. Users can also generate reports from unstructured documents in ...
IEEE

An Approach for Measuring Unstructured text Document Similarity using LDA-BERT Embedding Model

Abstract: This research work proposes an innovative method for measuring text similarity of unstructured PDF documents using a hybrid approach that combines Latent Dirichlet Allocation (LDA) and ...