As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.

Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

Pharmaceutical Separation Science Session Day two of HPLC 2025 concluded with a session on pharmaceutical separations chaired ...

As a cybersecurity engineer, she leads efforts to uncover and seal the different ways in which data can fall into the wrong ...

Nguyen Huu Thien built on his passion for mathematics to become an associate professor of computer science in the U.S. and ...

Here is the full list of the enterprise tech Startup Battlefield 200 selectees, along with a note on what made us select them ...

Explore how AI is transforming advanced materials design by analyzing microscopy images to create smarter, faster innovation ...

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...

Digitalisation and artificial intelligence have moved from competitive advantages to operational essentials. Artificial ...

API integration enables real-time processing. When a document enters the system through email, mobile upload, or scanner, an API call triggers the extraction process. The AI returns structured data ...