Engineering enzymes with AI
A research team from Aalto University and VTT will construct a virtual laboratory for enzyme engineering, which will allow human-AI collaboration to flourish.
Artificial Intelligence and Machine Learning
Fundamentals and practical impact of AI on businesses and societies.
AI is a major focus area of Aalto University and the Department of Computer Science. Building on the department's strong tradition that includes neural network pioneers Teuvo Kohonen and Erkki Oja.
Our research contributes both to the fundamentals of AI across its many subfields, as well as to the accelerating practical impact AI has on businesses and societies.
The Department of Computer Science is a key player in the Finnish Center for Artificial Intelligence FCAI, a major ecosystem of academic, private and public sector partners.
Machine Learning Coffee Seminar
News highlights
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.
Forbes AI Award to research on image-creating GAN models
The magazine pays tribute to the development of a model that starkly reduces the amount of data needed for generating new, artificial images
People
Related research groups
Computing technologies for designing, building and managing intelligent systems.
Machine learning models and methods for big data over networks
We develop new methods for probabilistic modeling, Bayesian inference and machine learning. Our current focuses are in particular learning from multiple data sources, Bayesian model assessment and selection, approximate inference and information visualization.
Research on semantic technologies, such as the Semantic Web and intelligent web services.
Latest publications
Balancing Imbalanced Toxicity Models : Using MolBERT with Focal Loss
Muhammad Arslan Masood, Samuel Kaski, Hugo Ceulemans, Dorota Herman, Markus Heinonen
2025
AI in Drug Discovery - 1st International Workshop, AIDD 2024, Held in Conjunction with ICANN 2024, Proceedings
Towards Interpretable Models of Chemist Preferences for Human-in-the-Loop Assisted Drug Discovery
Yasmine Nahal, Markus Heinonen, Mikhail Kabeshov, Jon Paul Janet, Eva Nittinger, Ola Engkvist, Samuel Kaski
2025
AI in Drug Discovery - 1st International Workshop, AIDD 2024, Held in Conjunction with ICANN 2024, Proceedings
DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing
Matias Turkulainen, Xuqian Ren, Iaroslav Melekhov, Otto Seiskari, Esa Rahtu, Juho Kannala
2025
Winter Conference on Applications of Computer Vision
New methods for drug synergy prediction : A mini-review
Fatemeh Abbasi, Juho Rousu
2024
Current Opinion in Structural Biology
Historical Opera and Music Theatre Performances on the Semantic Web: OperaSampo 1830-1960
Annastiina Ahola, Eero Hyvönen, Heikki Rantala, Anne Kauppala
2024
SEMANTiCS 2024, 20th International Conference on Semantic Systems, proceedings
Protein function prediction through multi-view multi-label latent tensor reconstruction
Robert Ebo Armah-Sekum, Sandor Szedmak, Juho Rousu
2024
BMC Bioinformatics
Text-to-Multimodal Retrieval with Bimodal Input Fusion in Shared Cross-Modal Transformer
Pranav Arora, Selen Pehlivan, Jorma Laaksonen
2024
2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings
Learning symmetry-aware atom mapping in chemical reactions through deep graph matching
Maryam Astero, Juho Rousu
2024
Journal of Cheminformatics
Likelihood-free inference in state-space models with unknown dynamics
Alexander Aushev, Thong Tran, Henri Pesonen, Andrew Howes, Samuel Kaski
2024
STATISTICS AND COMPUTING
A Comparison of Hyperspectral Super-Resolution Techniques for Boreal Forest Imagery
Yuvrajsinh Chudasama, Usman Muhammad, Ville Mayra, Florent Guiotte, Jorma Laaksonen
2024
IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
Related units
Helsinki Institute for Information Technology HIIT (external link)
Collaborative institute for research on information technology.
Research in Computer Science
Research in the Department of Computer Science
Department of Computer Science
We are an internationally-oriented community and home to world-class research in modern computer science.
School of Science
Science for tomorrow’s technology, innovations and businesses
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