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.

A decorated UVA engineer collects early-career honors for his leadership and contributions to the data mining field.

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

NEW YORK, NY, UNITED STATES, January 2, 2026 /EINPresswire.com/ — RepIntel has appointed Srikant Lakshminarayan as Founding Engineer, establishing his role in shaping the organization’s technical ...

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

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 ...

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

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

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

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 ...