# Smart Manufacturing Page: https://stenobird.com/podcast/nsf-s-discovery-files-podcast-5593035/smart-manufacturing Text version: https://stenobird.com/podcast/nsf-s-discovery-files-podcast-5593035/smart-manufacturing.md Podcast: [NSF’s Discovery Files Podcast](https://stenobird.com/podcast/nsf-s-discovery-files-podcast-5593035) Published: 2025-06-09T07:01:00+00:00 Episode link: https://NSFsDiscoveryFilesPodcast.podbean.com/e/smart-manufacturing/ Audio file: https://mcdn.podbean.com/mf/web/e87wrydpvigymepb/NSFsDiscoveryFilesPodcast_143_SmartManufacturing.mp3 Processing state: not_requested JSON: https://stenobird.com/v1/public/podcasts/nsf-s-discovery-files-podcast-5593035/episodes/smart-manufacturing Duration seconds: 1021 ## Resource U.S. National Science Foundation-supported researchers are developing a multimodal system that combines image analysis and natural language processing to help manufacturers detect problems, suggest improvements and communicate with machines in real-time. Bingbing Li, a professor at California State University, Northridge, discusses his group's work with vision language models for use in smart manufacturing. ## Actions - request_transcript: `POST https://stenobird.com/v1/public/podcasts/nsf-s-discovery-files-podcast-5593035/episodes/smart-manufacturing/transcription-requests` — Idempotently request low-priority transcript generation for this episode. - read_markdown: `GET https://stenobird.com/podcast/nsf-s-discovery-files-podcast-5593035/smart-manufacturing.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.