Antenna Recommendation Engine Adds AI Functionality
Taoglas recently released an AI-driven Antenna Product Recommendation Engine, an advanced platform that can optimize the selection of antennas and other RF components. The tool helps both experienced seasoned RF engineers and non-technical decision-makers with automated, intelligent guidance to aid in informed choices, regardless of prior RF experience.
Instead of a search based on datasheets, parametric online searches, or manual cross-comparison, the new recommendation engine leverages over two decades of Taoglas expertise into an always-available digital tool. The platform applies AI trained on real-world design knowledge to scan, filter, and refine suitable products in minutes, drawing on insights from tens of thousands of projects.
The tool provides access to a broad antenna portfolio spanning thousands of variants across frequencies, form factors, and applications. Recognizing that the right starting point is often the hardest part, the recommendation engine gives users the ability to move quickly from concept to prototyping and testing.
The newest addition to the Taoglas AntennaXpert ecosystem complements the Antenna Builder and Cable Builder for configuration, as well as the Antenna Integrator for PCB placement. The recommendation engine is free to use and designed as a scalable platform, with plans to grow into an even broader RF knowledge base.
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About the Author
Alix Paultre
Editor-at-Large, Microwaves & RF
Alix is Editor-at-Large for Microwaves & RF.
An Army veteran, Alix Paultre was a signals intelligence soldier on the East/West German border in the early ‘80s, and eventually wound up helping launch and run a publication on consumer electronics for the U.S. military stationed in Europe. Alix first began in this industry in 1998 at Electronic Products magazine, and since then has worked for a variety of publications, most recently as Editor-in-Chief of Power Systems Design.
Alix currently lives in Wiesbaden, Germany.