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Research
Tackling real-world problems with advanced AI methods.
Silo AI is the best place for machine learning experts to work with real-world industry problems. We value scientific efforts in machine learning, computer vision and natural language processing applied to our clients’ business cases.
researchers in Ai
We connect cutting-edge AI research to industry problems
Our researchers are our clients’ researchers.
Our team consists of more than 300 AI experts out of which more than 125 hold a PhD in machine learning, computer vision or relevant fields. Through our own R&D work and customer projects, we aim to stay true to our nature as a private AI lab.
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Research initiatives & Partnerships
Spearheading AI forward
research papers
Publications by our AI experts
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State space gaussian processes with non-gaussian likelihood
Nickisch, H., Solin, A., Grigorevskiy, A., 2018. State Space Gaussian Processes with Non-Gaussian Likelihood. ICML 2018.
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Learning structures of Bayesian networks for variable groups
Parviainen, P., Kaski, S., 2017. Learning structures of Bayesian networks for variable groups. IJAR 88.
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Non-stationary spectral kernels
Remes, S., Heinonen, M., Kaski, S., 2017. Non-Stationary Spectral Kernels. NIPS 2017
![](https://cdn.prod.website-files.com/63b52de17e2c703d2dfc9c98/63f47eaf183ea069fbac7747_research-paper-visual-4.webp)
Towards robust early-warning models: a horse race, ensembles and model uncertainty
Holopainen, M., Sarlin, P., 2017. Toward robust early-warning models: A horse race, ensembles and model uncertainty. Quantitative Finance 17.
Let’s work on AI together
Whether you need expertise in building AI-driven products, or are yourself looking to contribute in building them, don’t hesistate to reach out.
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