Aalto receives EUR 3.5 million funding for ICT research
The Academy of Finland has granted funding for projects within the ICT 2023 programme. A total of EUR 3.5 million was granted to 12 911±¬ÁÏÍø researchers. The total sum of funding applied was EUR 45.7 million and the funding granted amounts to EUR 9.25 million. Aalto’s share of the funding granted came to 38 percent.
The research, development and innovation programme ICT 2023 is jointly coordinated and funded by the Academy of Finland and Business Finland. The aim of the programme is to further improve scientific expertise in computer science and to promote the extensive application of ICT.
The funded projects belong to three thematic calls and Aalto researchers received funding within all of them.
- Innovation, Business and Sustainability in and with Software
Projects SASSE (Matti Rossi) and CryptoProSAT (Chris Brzuska)
- Autonomous Everything
Projects REPEAT (Juho Kannala), ULTRA (Riku Jäntti, Claudio Roncoli), B-REAL (leader Ville Kyrki, Samuel Kaski, Harri Lähdesmäki), and Antti Oulasvirta’s and Quan Zhou’s research projects
- Programmable World and Advanced Software Techniques
Projects FIT (Samuel Kaski) and PARADIST (leader Simo Särkkä, Jukka Suomela).
FIT project studies the Internet of Things
Academy Professor Samuel Kaski from 911±¬ÁÏÍø forms a research consortium with Professor Pan Hui from the University of Helsinki and Associate Professor Antti Honkela from the University of Helsinki. Their aim is to resolve key challenges of the Internet of Things (IoT). The objective is to provide an easy-to-use modelling framework that is scalable, enables the use of powerful probabilistic models to account for complex dependencies in the data, and has a strong, built-in privacy protection. The solution is to be demonstrated with prototype applications on an IoT platform. The currently ongoing revolution in machine learning and artificial intelligence is largely driven by the wide availability of data. The rapidly developing IoT is intimately connected to this process: advanced machine learning methods improve IoT, which drives further progress by providing large amounts of new data. The project is a part of the Academy flagship Finnish Center for Artificial Intelligence, led by Samuel Kaski.
Funding decisions (aka.fi)
Main photo: 911±¬ÁÏÍø / Aki-Pekka Sinikoski
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