Cybersécurité
Industrie du Futur
Industries Culturelles
Intelligence Artificielle
Micro/nano/électronique
Optique-Photonique
Following the success of our recent webinar dedicated to metrology, we are pleased to invite you to Webinar #3, focused on defectivity and yield enhancement.
🧠 Collaborative AI Software Layer for Defectivity
📅 Monday, February 16th
🕓 4:00 PM (CET – Paris time)
⏱️ 45-minute LIVE webinar
Defectivity remains one of the most critical challenges to maximize yield and reduce process excursions in semiconductor and advanced materials manufacturing.
In this webinar, we will dive deep into SmartDEF3, Pollen’s AI-driven defect inspection software, and demonstrate how Collaborative AI can transform defectivity workflows while keeping engineers fully in control.
What is it ?
* How to classify defects with expert precision across SEM, TEM, optical, and other image types
* How to deploy Automated Defect Classification (ADC) using deep learning, even with limited examples of rare defects
* How clustering and pattern recognition accelerate root cause analysis and reduce time-to-result
* How to standardize inspection logic across the fab while eliminating human bias
Who should attend
- Yield & Defectivity Engineers,
- Process Integration Engineers,
- Quality & Reliability Managers,
- Data Scientists,
- FA specialists,
- Fab technical leaders.
At Pollen, we strongly believe AI should augment engineers, not replace them.
We look forward to welcoming you live.
About Pollen Metrology | https://www.pollen-software.com/
POLLEN Metrology is a decision making software publisher applied to nano-fabrication issues. Our software centralizes and analyzes data from different measurement tools (SEM, AFM, TEM …) necessary to the understanding and mastery of nano-processes applied especially in the semiconductor, pharmaceutical, cosmetics, food, building (…). Centralization and aggregation of this data with other sources of heterogeneous information (process, design, other measurements …) allow the simplification and acceleration of the cycle of learning and mastering the nano-processes. This also allows for the industries concerned to comply with the current regulations standards and future related to the use of “Nanos”.