Cellima Talks I
Machine learning for improved image analysis in R&D
In this interview, Philip Kainz, CEO of KML Vision, talks about the development of analysis tools for scientific research.
He describes how machine learning algorithms efficiently support scientists in pattern recognition. He shares his journey from computer scientist to co-founder of KML Vision, a company dedicated to bringing ML solutions to those without the technical knowledge or resources.
Philipp talks about the differences between working with academics and the pharmaceutical industry. Finally, he explains the advantages of DeepL & ML technology over traditional image analysis methods. How these new, future-oriented tools can be successfully used for both prospective and retrospective data analysis.
Join us for an engaging conversation with Philipp Kainz as we explore the latest trends and challenges in AI-driven image analysis for research and development.
