NeurIPS 2021

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A Case Study on Bayesian Deep Learning for Stochastic Dynamical Systems in the Mining Industry. 

We are delighted to have been accepted for a poster session at the NeurIPS 2021 conference on artificial intelligence and computational neuroscience.

The Neural Information Processing Systems Foundation is a non-profit corporation whose purpose is to foster the exchange of research advances in Artificial Intelligence and Machine Learning, principally by hosting an annual interdisciplinary academic conference with the highest ethical standards for a diverse and inclusive community.

The conference was founded in 1987 and is now a multi-track interdisciplinary annual meeting that includes invited talks, demonstrations, symposia, and oral and poster presentations of refereed papers. Along with the conference is a professional exposition focusing on machine learning in practice, a series of tutorials, and topical workshops that provide a less formal setting for the exchange of ideas.

On Dec 14th, our amazing team will present a Case Study on Bayesian Deep Learning for Stochastic Dynamical Systems in the Mining Industry. Check out our poster submission below to learn more.

Bayesian Deep Learning of Stochastic Dynamical Systems in Mining

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