The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Edge AI for Smart Manufacturing with Trista Chen - TWiML Talk #253
Apr 18, 2019
Trista Chen, Chief Scientist of Machine Learning at Inventec, brings her extensive experience in AI and smart manufacturing to the discussion. She dives into the challenges and innovations within Industry 4.0, particularly focusing on defect detection and operational optimization. Trista explains the advantages of edge AI over cloud computing and discusses the complexities of ROI in AI projects. Her insights on integrating digital and physical systems highlight the transformative potential of automation in enhancing efficiency and production processes.
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Trista Chen's Career Journey
- Trista Chen's career spanned from computer vision research at Carnegie Mellon and NVIDIA to leading OpenCV development at Intel.
- She also founded a computer vision startup, worked at Cognitive Networks (acquired by Vizio), and now focuses on Industry 4.0 at Inventec.
Industry 4.0 and AI
- Industry 4.0 digitizes factories for seamless physical-digital integration, optimizing processes with AI.
- This offers benefits like consistent defect detection and operational optimization.
Data Access Challenges in Manufacturing
- Device manufacturers often restrict access to raw data, like images from AOI machines, hindering further optimization.
- Manufacturing data is often kept private within factory walls for competitive reasons.