We’re happy to announce that our next Silo.AI Academy webinar, open to our community members and others working with the research or implementation of machine learning, will take place on
Artificial intelligence and its various techniques are booming everywhere on many different levels. As Google Trends for this hot topic skyrocket, we want to bring the human aspect back into
“With great power comes great responsibility” AI-driven analytics for research or clinical practice Among other fields already being affected, AI also strives to revolutionise the medical sector and healthcare. The
The story of Silo.AI has many beginnings, but one of the most foundational of all is the work we carried out, first with the European Central Bank (ECB), and later
Privacy is a big challenge when dealing with vast amounts of data, which is the basis of artificial intelligence. People whose data is being collected, treated and analysed are often
When an industry becomes more competitive, job applicants need to possess additional skills that help them to start smoothly at work and to be distinguished from candidates with similar qualifications
Some weeks ago the International Conference on Machine Learning (ICML2018) concluded. It is one of top 3 conferences in Machine Learning and Artificial Intelligence in the world. This year it
Finland’s TurkuNLP group has reached the highest aggregate ranking in the global natural language parsing Shared Task 2018, beating 25 other top universities and company research groups in performance. Filip Ginter, the head of TurkuNLP, is an AI scientist in Silo.AI’s NLP team.
Bayesian networks can be used to compute probabilities of causes given effects. Bayesian networks belong to a class of models called probabilistic graphical models. Probabilistic models are particularly good in handling uncertainty.
Managing AI projects poses a new set of challenges compared to, for instance, managing traditional software development projects. We examine some of these challenges.
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