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silo.ai

Tackling real-world problems with the latest 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.

Our team consists of more than 240 AI experts out of which more than 120 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.

Our researchers. Your researchers.

Slawomir Nowaczyk, PhD

Professor in Machine Learning at the Center for Applied Intelligent Systems Research (CAISR), School of Information Technology, Halmstad University, Sweden, and an experienced researcher in machine learning. World-class experience and competence in academic research on and industry applications of state-of-the-art AI across many different areas, including automotive, energy, manufacturing, and healthcare.

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Susanna Pirttikangas

Susanna Pirttikangas, PhD

Experienced AI scientist with 20+ years at the intersection of academia and industry. Has led several large research programs on industrial and edge applications of AI and is an author of more than 70 publications.
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Hedvig Kjellström

Hedvig Kjellström, PhD

Professor in the Division of Robotics, Perception and Learning at KTH Royal Institute of Technology, Sweden, focusing on computer vision and machine learning methods for enabling artificial agents to interpret the behavior of humans and other animals.
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Kaj-Mikael Björk

Kaj-Mikael Björk, PhD

Top senior researcher with unique capability to lead research teams. A former visiting professor at UC Berkeley and Carnegie Mellon, listed as the top 6 most published AI researchers in Finland in the Digibarometri survey by the Research Institute of the Finnish Economy ETLA.
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Current research initiatives

IML4E

Driven by ITEA 4, the Industrial Machine Learning for Enterprises (IML4E) project develops a European framework for the development, operation and maintenance of AI-based software, thereby ensuring the development and quality assurance of intelligent services and intelligent software on an industrial scale.

As part of the project, Silo AI is implementing an open source Machine Learning Operations (MLOps) experimentation platform architecture to contribute to the creation of a European MLOps standard, while also contributing to the establishment of best practices for model monitoring and data versioning.

Read more about IML4E

Publications by our AI experts

PUBLICATION
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.
Peter Sarlin
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Watch
PUBLICATION
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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Watch
PUBLICATION
Non-stationary spectral kernels

Remes, S., Heinonen, M., Kaski, S., 2017. Non-Stationary Spectral Kernels. NIPS 2017

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PUBLICATION
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.
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Technical videos

VIDEO
Play Video
Graph data in AI - Graph embedding and convolutional networks on graphs
VIDEO
Play Video
Computer vision meetup, AI interpretability
VIDEO
Play Video
Computer vision meetup, Face AI – applications and concerns
VIDEO
Play Video
Computer vision meetup, Human action
VIDEO
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Machine learning for real-time inference
VIDEO
Play Video
Personal data processing principles for AI
VIDEO
Play Video
AI model interpretability
VIDEO
Play Video
State space gaussian processes with non-gaussian likelihood
Alexander Grigorevskiy

Research related articles

Silo AI and Mila join forces to connect leading AI experts in the Nordics and Canada 

Pauliina Alanen 2.2.2023

Silo AI, one of Europe’s largest private Artificial Intelligence (AI) labs, is proud to announce a partnership with Mila – Quebec AI Institute, the world’s largest academic deep learning research center. Founded by the leading AI researcher, Yoshua Bengio, Mila brings together more than 1,000 academic researchers in machine learning (ML). The partnership aims to connect state-of-the-art AI research with industry needs. With a strong experience in building AI-driven products, Silo AI has gathered a unique pool of AI talent including 240 AI experts, out of which 120 have a PhD degree. 

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ARTICLE
silo.ai
April 2nd, 2020
Improving situational awareness with flight delay prediction
Situational awareness
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ARTICLE
silo.ai
April 2nd, 2020
Improving situational awareness with flight delay prediction
Situational awareness
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ARTICLE
silo.ai
April 2nd, 2020
Improving situational awareness with flight delay prediction
Situational awareness
Read more
ARTICLE
silo.ai
April 2nd, 2020
Improving situational awareness with flight delay prediction
Situational awareness
Read more

Silo AI research community

Tomasto Aste

Tomasto Aste

Professor
University College London
Samuel Kaski

Samuel Kaski

Professor
Aalto University
Barbara Hammer


Barbara Hammer

Professor
Bielefeld University
Moncef Gabbouj

Moncef Gabbouj

Professor
Tampere University of Technology
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