Open Seminar – Machine Learning
October 31 @ 9:00 - 15:00
Machine Learning in an open science setting is a place to optimize future material development through screening and prediction of material-properties. Predictions are based on known properties of materials at all length scales. In developing new materials, machine learning will optimize the selection process and allow for a more effective development process.
Open Science is a new type of industrial collaboration supplementing the traditional industrial collaborations. Open science collaborations invite anyone with an interest in a project in, and thus is a more barrier-less type of collaboration. Open Science projects are fundamental research projects but with a focus on future industrial needs shared between multiple companies/industries.
Open Science hold monthly topical Open Seminars. Participation in the seminar is free, but registration required.
Speakers: Ove Christiansen, Dept. Chem. AU; Brian Vinter, Computer Science KU; Carl Scultz, Dept. electrical and computer engineering AU, LEGO; Bjørk Hammer, Dept. Phys. and Astronomy AU; Kristian Ejlebjærg Jensen, Comsol; Søren Madsen , Dept. Eng. AU
Find information about the open seminar here: https://spoman-os.org/event/open-seminar-machine-learning/
Read more about open science machine learning here: https://spoman-os.org/sustainable-polymersmachine-learning/