Webinar: AI/ML Algorithm Design and Testing Toward 6G
AI and machine learning (AI/ML) are reshaping wireless communications, promising faster, more efficient, and more intelligent networks. But bringing these algorithms into real-world environments isn’t simple — validation and testing remain major hurdles.
In this webinar, industry expert Abhinav Mahadevan shares how to bridge that gap.
You’ll learn:
• How AI/ML can unlock smarter signal processing and optimized performance.
• The toughest challenges in validating AI/ML for wireless networks — and how to overcome them.
• Practical strategies to ensure accuracy, reliability, and scalability in AI-driven systems.
With real-world case studies and research insights, you’ll walk away with actionable approaches to harness AI/ML for your next-generation wireless designs — helping you accelerate innovation while reducing risk.
Presenters
Abhinav Mahadevan
AI Technologist, R&D Manager
Abhinav leads the development of advanced machine learning solutions for wireless and RF applications. With over a decade of experience, he has driven the growth of a new product line, served as the lead R&D engineer for the Keysight over the air (OTA) project, contributed to the Keysight 6G Program Office and is now manager in Keysight Labs leading the effort in building machine learning solutions for physical AI.
Abhinav is passionate about integrating artificial intelligence and machine learning with wireless technologies toward 6G.
Nancy Friedrich
Keysight 6G Solutions Expert
Nancy Friedrich is the 6G Thought Leadership Global Development Lead at Keysight covering 6G research and development, use cases, and standard evolution. Previously, she led marketing efforts for Keysight’s RF and industry solutions in the aerospace and defense sector. Prior to joining Keysight, Friedrich served as executive director and editor-in-chief of media brands including Electronic Design, Microwaves & RF, Design News, Power Electronics, and Machine Design.
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