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Our five most read computer science stories of 2022

The past year has seen researchers at the Department of Computer Science explore new frontiers in several multidisciplinary subfields of the discipline. However, the dominant topic both in the media as well as in our most read stories has been artificial intelligence. See the top five below.
Two high students doing an experiment with mobile phones.
Artificial intelligence was the talk of the town in 2022. What will we be talking about in 2023? Image: Mikko Raskinen/Aalto University

Learning from the brain: Stéphane Deny uses insights from neuroscience for better artificial intelligence

Machine learning models typically need gigantic data sets and a lot of energy, whereas the brain consumes as much power as a single light bulb. Aalto’s new assistant professor uses neuroscience to make computer programs more efficient.

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Stephane Deny

Participatory research to improve artificial intelligence based public sector services and empower citizens

Multidisciplinary research team invites citizens, civil servants and software developers to identify risks and potential of algorithmic services – and helps providers address upcoming EU regulations

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Complex networks, illustration Matti Ahlgren Aalto University

Artificial intelligence to assist the brain

Neuroscience and neurotechnology are gaining a fresh ally in the form of artificial intelligence, which can assess dementia risk and enhance the effectiveness of depression treatments.

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Kuvituskuvassa on vaaleanpunaisella pohjalla mustavalkoiset ihmiskasvot ja niiden yläpuolella sinisävyinen piirroskuva aivoista. Kasvojen ympärillä on yksittäisiä sanoja kuten "jungle" ja "tomato" sekä aivosähkökäyrää symboloiva aaltoviiva.

Finnish pioneer in artificial intelligence

At the beginning of the 1980s, Teuvo Kohonen started thinking about how the human brain processed information – and came up with a significant milestone in artificial intelligence studies: the self-organising map.

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Mustavalkoisessa arkistokuvassa Teuvo Kohonen istuu vanhanaikaisen tietokoneen äärellä.

Five data science students share stories of studies, events, and their expectations

Data Guild is an association of the data science students at Aalto University. It is a relatively new association - it was established only three years ago. Five members of the culture committee of the guild - Ilia Zalesskii, Aaron Wallasvaara, Christian Guidikov, Pranava Varshan and Rainer Ruuskanen – share why they chose to study data science and how they find the student life.

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A collage of nine people in formal and casual attire. Backgrounds vary from office settings to plain walls.
Research & Art Published:

Research Council of Finland establishes a Center of Excellence in Quantum Materials

The Centre, called QMAT, creates new materials to power the quantum technology of coming decades.
arotor adjustable stiffness test setup
Cooperation, Research & Art Published:

Major funding powers development of next-generation machine technology aimed at productivity leap in export sectors

The BEST research project is developing new types of sealing, bearing, and damping technology.
TAIMI-hanke rakentaa tasa-arvoista työelämää. Kuva: Kauppakorkeakoulu Hanken.
Research & Art Published:

The TAIMI project builds an equal working life – a six-year consortium project seeks solutions to recruitment and skill challenges

Artificial intelligence (AI) is changing skill requirements, the population is aging, and the labor shortage is deepening. Meanwhile, the potential of international experts often remains unused in Finland. These challenges in working life are addressed by the six-year TAIMI project funded by the Strategic Research Council, and implemented by a broad consortium.
Unite! Seed Fund 2026: Call opens on 20 January. Applications open for student activities, teaching and learning, research and PhD.
Cooperation, Research & Art, Studies, University Published:

Unite! Seed Fund 2026: Call opens on 20 January 2026

Gain an early overview of the Unite! Seed Fund Call of Spring 2026. The call includes three funding lines: Student Activities, Teaching and Learning, and Research and PhD.