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Open Seminar – Machine Learning

October 31 @ 9:00 - 15:00

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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/

Details

Date:
October 31
Time:
9:00 - 15:00

Organizer

SPOMAN Open Science

Venue

Richard Mortensenstuen
Frederik Nielsen Vej 2
Aarhus, 8000 Denmark
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