Tiger Brokers

Keysight and Samsung Collaborate With NVIDIA on End-to-End AI-RAN Validation Workflow

Reuters
Mar 03
Keysight and Samsung Collaborate With NVIDIA on End-to-End AI-RAN Validation Workflow

Keysight Technologies Inc. is collaborating with Samsung Electronics to demonstrate an end-to-end AI-RAN testing and validation workflow with NVIDIA at Mobile World Congress 2026. The companies are showcasing an integrated process that combines dataset generation, AI/ML training, and repeatable benchmarking to validate AI-driven RAN functions such as PUSCH channel estimation, aiming to speed innovation and reduce deployment risk for operators and vendors.

Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Keysight Technologies Inc. published the original content used to generate this news brief via Business Wire (Ref. ID: 20260302272970) on March 02, 2026, and is solely responsible for the information contained therein.

At the request of the copyright holder, you need to log in to view this content

Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

Most Discussed

  1. 1
     
     
     
     
  2. 2
     
     
     
     
  3. 3
     
     
     
     
  4. 4
     
     
     
     
  5. 5
     
     
     
     
  6. 6
     
     
     
     
  7. 7
     
     
     
     
  8. 8
     
     
     
     
  9. 9
     
     
     
     
  10. 10