Episode

Smart Manufacturing

Podcast: NSF’s Discovery Files Podcast
Published: Jun 9, 2025
Duration seconds: 1021
Processing state: not_requested
Canonical source: https://NSFsDiscoveryFilesPodcast.podbean.com/e/smart-manufacturing/
Audio: https://mcdn.podbean.com/mf/web/e87wrydpvigymepb/NSFsDiscoveryFilesPodcast_143_SmartManufacturing.mp3
JSON: /v1/public/podcasts/nsf-s-discovery-files-podcast-5593035/episodes/smart-manufacturing
Markdown: /podcast/nsf-s-discovery-files-podcast-5593035/smart-manufacturing.md

Actions

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.
GET https://stenobird.com/podcast/nsf-s-discovery-files-podcast-5593035/smart-manufacturing.md
Read the agent-friendly Markdown representation of this episode resource.

Summary

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.