Our team consists of more than 150 AI experts out of which more than 80 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.
Remes, S., Heinonen, M., Kaski, S., 2017. Non-Stationary Spectral Kernels. NIPS 2017
Silo AI expands with the opening of a new office in Copenhagen, Denmark. Having a well-established foothold in the Nordics, with a team of about 100 PhDs and close to
Silo AI and UNAIDS, the Joint United Nations Program on HIV/AIDS, collaborate to build an AI-driven solution to make data collection and analysis more efficient. As a result, Silo AI built an assistant that finds and summarizes relevant paragraphs from the source data as well as combines numerical data from various sources into a single source. The pilot project indicates that such a solution based on Natural Language Processing (NLP) and automated data processing can save an estimated 30–40% of time spent on data analysis by individual experts.
Inference #17: ML Design Patterns with Michael Munn from Google Information can be lost in translation. As new technologies require a unified framework for discussion, they too require it for