# Episode 6: Machine Learning & AI based Wireless Connectivity for 6G & Beyond Page: https://stenobird.com/podcast/comsoc-technology-news-ctn-7068281/episode-6-machine-learning-ai-based-wireless-connectivity-for-6g-beyond Text version: https://stenobird.com/podcast/comsoc-technology-news-ctn-7068281/episode-6-machine-learning-ai-based-wireless-connectivity-for-6g-beyond.md Podcast: [ComSoc Technology News (CTN)](https://stenobird.com/podcast/comsoc-technology-news-ctn-7068281) Published: 2024-10-25T17:58:05+00:00 Episode link: https://comsoc.transistor.fm/6 Audio file: https://media.transistor.fm/2c7e3e03/e34675be.mp3 Processing state: not_requested JSON: https://stenobird.com/v1/public/podcasts/comsoc-technology-news-ctn-7068281/episodes/episode-6-machine-learning-ai-based-wireless-connectivity-for-6g-beyond Duration seconds: 2630 ## Resource CTN’s podcast #6 features Professor Yansha Deng discussing with our very own Professor Aryan Kaushik the vision of AI and how it will be enhancing the upcoming 6G technology cycle. The words “AI native” has been used extensively as it relates to 6G, and academic work has and is taking place in almost every research space, from physical layer, to cross layer to management and orchestration. This podcast provides great insights into the ways in which AI will make 6G promises become realities. Enjoy it. ## Actions - request_transcript: `POST https://stenobird.com/v1/public/podcasts/comsoc-technology-news-ctn-7068281/episodes/episode-6-machine-learning-ai-based-wireless-connectivity-for-6g-beyond/transcription-requests` — Idempotently request low-priority transcript generation for this episode. - read_markdown: `GET https://stenobird.com/podcast/comsoc-technology-news-ctn-7068281/episode-6-machine-learning-ai-based-wireless-connectivity-for-6g-beyond.md` — Read the agent-friendly Markdown representation of this episode resource. A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed. ## Transcript Full transcripts are not published on public pages unless there is a clear rights basis.