Füchslin, Rudolf Marcel,

2020.

Künstliche Intelligenz.

Aargauische Naturforschende Gesellschaft.

Verfügbar unter: https://anchor.fm/ang1811/episodes/3---Knstliche-Intelligenz-eapt21

Venturini, Francesca; Michelucci, Umberto; Baumgartner, Michael,

2020.

Dual oxygen and temperature sensing with single indicator using multi-task-learning neural networks.

In:

SPIE Photonics Europe, Digital Forum, France, 6 - 10 April 2020.

Venturini, Francesca; Michelucci, Umberto; Baumgartner, Michael,

2020.

Multi-task learning approach for optical luminescence sensing [Poster].

In:

Applied Machine Learning Days (AMLD), Lausanne, 25-29 January 2020.

Venturini, Francesca,

2020.

Applications of ML to oxygen sensing.

In:

Deep learning meets (Astro)physics : A one day tutorial on neural nets, deep learning and TensorFlow 2.0, with applications to (astro)physics and science, ETHZ, Institute for Particle Physics and Astrophysics, Zurich (Switzerland), 22 January 2020.

Verfügbar unter: https://sites.google.com/view/dl-meets-astrophysics-2020/

Weyland, Mathias S.; Flumini, Dandolo; Schneider, Johannes J.; Füchslin, Rudolf M.,

2020.

A compiler framework to derive microfluidic platforms for manufacturing hierarchical, compartmentalized structures that maximize yield of chemical reactions [Paper].

In:

ALIFE 2020: The 2020 Conference on Artificial Life.

International Conference on Artificial Life (ALIFE), online, 13-18 July 2020.

Cambridge:

MIT Press.

S. 602-604.

Verfügbar unter: https://doi.org/10.1162/isal_a_00303