WEBINARS

This webinar is in partnership with Potato News Today. We will show how a team of researchers applied JADBio’s Automated Machine Learning (AutoML) platform to predict potatoes’ susceptibility to bruising and also its potential for coloration during chip/crisp processing. The aim was to differentiate between potatoes that would be less prone to bruising from those that would more easily bruise during mechanical handling. Another goal was to successfully predict the potatoes’ potential susceptibility to acrylamide formation during chip/crisp processing due to the Maillard reaction.

In this webinar, Aris Karanikas, Business Development for JADBio, and Pavlos Charonyktakis, CTO at JADBio, will provide a thorough introduction to autoML’s key fundamentals, opportunities, and problem-solving methods with case-studies in bioinformatics using the JADBio platform for demonstration.

In this webinar series, Aris Karanikas, Business Development at JADBio, and Giorgos Papoutsoglou, Product Manager at JADBio, will demonstrate some advanced capabilities of AutoML using the JADBio platform and real case-studies. He will explain how you can build your data-driven models and utilize a large set of visualizations and reports to gain insights from your data.