Webinar Date: May 6, 2026

Speakers:

• Michel Dubois, Operating Partner and Head of the Artificial Intelligence Lab, Innovobot Labs
  

• Christian Sauvageau, CEO, Reveal Surgical
  
• François Daoust, Co-founder and Chief Technology Officer, Reveal Life Science

This webinar explores how specialized AI systems are ideally built, when the signal is hard to read, the workflow is unforgiving, and a wrong decision has real consequences.

Details: Computer Vision turns into a very different discipline, when the task is not just counting people or everyday objects but rather distinguishing healthy from cancerous tissue in seconds; or detecting a hairline defect before assembly; or helping a robot act on parts that vary in shape from cycle to cycle.

In these environments, strong results depend not just on model selection, but also on engineering the full decision pipeline, around data conditioning, feature engineering, training strategy, the handling of edge cases, etc.

Using Reveal Surgical as a featured example, this webinar examined how Raman spectroscopy and AI are combined, in order to help surgeons assess tissue in vivo within seconds, during procedures where margin decisions really matter.

We then connected these same design principles to other private-sector settings beyond healthcare, such as semiconductor inspection, food grading and drone-based damage assessment – all areas where performance depends greatly on accuracy, consistency and robustness.

To access the resources from this webinar, click the buttons below: