Presenters: Benjamin Deonovic (Corteva), Timo Bechger (Metior Consulting), Gunter Maris (Metior Consulting)

The Boltzmann machine remains an attractive generative model for supervised and unsupervised learning of complex multivariate distributions of binary random variables. Often the observed variables are augmented with unobserved binary variables and a Boltzmann machine is assumed for both together. Popular examples are restricted Boltzmann machines, latent tree models, and deep Boltzmann machines.

Presenters: Yigal Attali, Andrew Runge, Geoff LaFlair, Kevin Yancey & Alina A. von Davier

Moderator: Peter Halpin

Along with the advances in communication and platform technology, it’s become apparent that (quality) content development is at the core of many industries, including the education industry. The development of learning and assessment content has been a craft that has required a high level of expertise, often of the type that was built over the years on the job. In the fast-paced digital education this is difficult to sustain.