Finnish Center for Artificial Intelligence (FCAI)

Project Details

Description

Artificial Intelligence opens new opportunities and poses new challenges in its relations to humans, which require developing new kinds of AI and its applications. The vision of FCAI is to build real AI, for real people, in the real world.

FCAI will play a key role in Finland's recently published AI Program to transform industry, healthcare and working life. FCAI will enable the public and private sectors to work together to support research based innovations. It will enable individual citizens to work with AI and participate actively in the future work life.

Our research focuses on three challenges: Data efficiency, Trust, and Understandability. The outcome is AI that is able to collaborate with humans in complex real-world tasks.

FCAI research builds on our world-level expertise in machine learning, in particular probabilistic methods and deep learning, and involves a wide set of fields in research and education, with industrial actors participating.
Short titleFCAI Flagship events
AcronymFCAI
StatusActive
Effective start/end date01/01/201931/12/2022
  • Learning Global Pairwise Interactions with Bayesian Neural Networks

    Cui, T., Marttinen, P. & Kaski, S., 2020, ECAI 2020 - 24th European Conference on Artificial Intelligence, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020 - Proceedings. IOS PRESS, p. 1087-1094 8 p. ( Frontiers in Artificial Intelligence and Applications; vol. 325).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    File
    1 Citation (Scopus)
    3 Downloads (Pure)
  • Learning spectrograms with convolutional spectral kernels

    Shen, Z., Heinonen, M. & Kaski, S., 2020, The 23rd International Conference on Artificial Intelligence and Statistics. Chiappa, S. & Calandra, R. (eds.). p. 3826-3836 10 p. (Proceedings of Machine Learning Research; vol. 108).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    File
    7 Downloads (Pure)