Department of Computer Science

Machine Learning and Artificial Intelligence

Machine learning, the core technology underlying many recent breakthroughs in Artificial Intelligence (AI), is one of the strengths of Aalto University, with a long history starting from neural network pioneers Teuvo Kohonen and Erkki Oja.
Aalto university / kuva: Aino Huovio

Today, AI is rapidly changing the society, and our mission is to contribute to the change with key technologies to seize the opportunities. We are in an excellent position to do so with our critical mass of expertise, not only in machine learning but also other key technologies in computational logic, algorithms, data science, and with our effective collaboration network with other fields in Aalto and internationally. The department is a key player in the Finnish Centre for Artificial Intelligence FCAI and in the AI initiatives being launched by the Finnish Government.

Related unit

Finnish Center for Artificial Intelligence

Finnish Center for Artificial Intelligence FCAI (external link)

International research hub for artificial intelligence

Current

News about AI research at Aalto University

Johanna Ylipulli standing on a bridge
Research & Art Published:

Designing sustainable societies through trust

A broad understanding of digital technologies is of utmost importance in the information era. How do we make sure that humans stay in the loop in a socially sustainable way as societies become ever more digitalised?
A group of people including children sitting around desks with monitors
Campus, University Published:

Making AI fun at Aalto Family Day

CEST group hosted an interactive AI-inspired display at the recent Aalto Family Day
Illustration of a solar flare, spat out from the Sun's surface.
Press releases Published:

New forecasting tool can give an early warning of solar storms – boosts preparedness and helps mitigate damage

Associate Professor Maarit Korpi-Lagg has received funding from the European Research Council to develop a forecasting tool to locate the source regions for the eruption of solar flares already a few days before they emerge on the Sun’s surface.
Scanning electron micrograph of a human neutrophil ingesting MRSA.
Research & Art Published:

Machine learning meets medicine in the fight against superbugs

Modeling how MRSA bacteria spread on the body can enhance treatments.
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