Introduction Traditional data extraction strategies, such as human double extraction, are both time consuming and labour-intensive. Artificial intelligence (AI) has emerged as a promising tool for ...

The baking aisle at the supermarket is packed with flavorings designed to take homemade cakes and cookies up a notch. From almond and coffee extract to lemon and peppermint, this abundance of ...

We developed and evaluated a pipeline combining Mistral Large LLM and a postprocessing phase. The pipeline's performance was assessed both at document and patient levels. For evaluation, two data sets ...

Automates the generation of PowerPoint portfolio reports from AirSaas project data. Fetches project information via the AirSaas API, maps data fields to PPT template placeholders, and generates ...

Earnings announcements are one of the few scheduled events that consistently move markets. Prices react not just to the reported numbers, but to how those numbers compare with expectations. A small ...

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 ...

AI data centers require incredible amounts of energy to run. NPR's Planet Money investigates how that demand for power might affect your electric bills. Tech companies invested hundreds of billions of ...

Abstract: To apply for higher education and job opportunities, a student's marksheet serves as a reference document. The conventional way of manually extracting meaningful information for companies ...

Just when you thought you heard it all, AI systems designed to spot cancer have startled researchers with a baked-in penchant for racism. To conduct the study, researchers at Harvard University combed ...

Sign up for the daily CJR newsletter. Recently, on the website of USA Today, I asked a generative AI chatbot called DeeperDive a question: “Is AI good ...

Design and implement an end-to-end ETL (Extract, Transform, Load) pipeline using SQL for data extraction and transformation, and Python for orchestration and automation. Use any open dataset (e.g., ...