TLDR:
- Nokia and Qualcomm have developed a prototype technology for AI interoperability in wireless systems.
- This technology utilizes sequential learning to allow different AI models to coordinate without sharing sensitive AI models.
Nokia and Qualcomm have collaborated to research and develop AI-interoperability technology that aims to enhance wireless capacity and performance. One of the main challenges faced in AI adoption in wireless systems is the interoperability between AI models used by different vendors. By using a technique called sequential learning, AI models can be trained independently but can still coordinate with each other effectively.
This prototype solution has been implemented into a proof-of-concept and will be showcased at Mobile World Congress 2024. This technology has the potential to optimize wireless systems in the future and enable AI to play a significant role in improving performance and efficiency.
Qualcomm and Nokia have taken a new approach to AI interoperability that uses sequential learning, which allows different AI systems to train independently and share knowledge without sharing actual AI models. This collaboration signals a step towards defining a scalable global standard for wireless AI interoperability.
Their demonstration at the conference will highlight how AI can revolutionize wireless communications and set the stage for future advancements in AI-native capabilities in the 6G era.