Hello, this is "TechLog," where we share AI trends and practical programming. Have you ever had to copy text from a PDF document and paste it elsewhere for school assignments or work tasks? Selecting ...

Financial data is often trapped inside static PDFs. It forces analysts to copy figures manually while the market moves ahead ...

PERLA Extract is an automated data extraction tool that uses large language models (LLMs) to identify and structure key information on perovskite solar cells from scientific papers. This includes ...

Abstract: The National Renewable Energy Laboratory (NREL) Python panel-segmentation package is a toolkit that automates the process of extracting accurate and valuable metadata related to solar array ...

This project represents a complete, industry standard, end-to-end data analytics workflow, designed to mirror the real responsibilities of professional analysts in modern business environments. The ...

We build a Gin Config controlled PyTorch pipeline where the training code stays fixed and the experiment variables move into .gin files. We construct a nonlinear spiral binary classification task and ...

OpenAI is set to launch GPT-5.6 after a US security review, raising new questions for enterprise AI access, safeguards, and governance. If you can only read one tech story a day, this is it. We use ...

A study of 67 AI models finds enterprises underestimate multi-model failure rates by 2.25x, and offers a free test to check ...

Abstract: Functional MRI (fMRI) and single-cell transcri ptomics are pivotal in Alzheimer’s disease (AD) research, each providing unique insights into neural function and molecular mechanisms. However ...

As a condition of using these data, you must cite the use of this data set. Such a practice gives credit to data set producers and advances principles of transparency and reproducibility. Other ...

Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.