On June 24, 2026, Microsoft’s Digital Crimes Unit (DCU) facilitated the takedown, suspension, and blocking of domains that ...

Look to these key metrics and benchmarks to evaluate the performance, capability, reliability, and safety of your AI models ...

Pulls your health and fitness data from Garmin Connect and saves it as a plain text file with complete JSON data blocks. Designed for uploading to LLM tools like NotebookLM, ChatGPT, and Claude. Also ...

SEOUL, March 12 - Korea Zinc (010130.KS), opens new tab is in talks with major U.S. technology firms to recycle data centre waste and extract rare earths, its chairman said, amid a U.S. push to reduce ...

Medical free texts such as pathology reports contain valuable clinical data but are challenging to structure at scale. Traditional natural language processing approaches require extensive annotated ...

What if you could turn chaotic, unstructured text into clean, actionable data in seconds? Better Stack walks through how Google’s Lang Extract, an open source Python library, achieves just that by ...

Some of the most important battles in tech are the ones nobody talks about. One of them? The war against unstructured text chaos. If you’ve ever tried to extract clean, usable data from a pile of ...

Modern biological studies are characterized by the involvement of various ‘omic’ data types that describe the totality of biological entities, such as genomics, transcriptomics, proteomics, ...

A new federally funded research project at the University of California, Davis, endeavors to extract valuable components for magnets, lasers and other modern technologies from an unlikely source: ...

Rare earth elements are vital to new technologies and industry but hard to obtain. A new project led by UC Davis and funded by a grant from ARPA-E aims to develop acid-tolerant bacteria that can ...

Data without shape is noise; structured data drives decisions. Businesses and creators deal with PDFs, Word files, HTML pages, images, or even scanned invoices every day. Extracting reliable, ...

Leveraging Centralized Health System Data Management and Large Language Model–Based Data Preprocessing to Identify Predictors for Radiation Therapy Interruption This study presents a new method based ...