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New topics included! Registrations for spring 2026 are open.
New Innovation Postdoc programme launching this spring in Aalto
Innovation Postdoc launching this spring for AI researchers eager to turn cutting-edge research into real-world impact.
Better AI models by incorporating user feedback into training
New research improves a popular method for fine-tuning AI models by 60% using visualization tools.
Specialised AI models could be Finland's next global export
Specialised, resource-efficient AI models could be the next competitive edge of our country, and a way to stand out among the use of large language models.
Virtual Reality and AI summer course focuses on technology as a means for human-centric innovation
Gautam Vishwanath is the teacher for the new summer course Introduction to Virtual Reality and Artificial Intelligence this summer. In this interview, he lets us in on how these technologies will reshape how we experience history, empathise with distant conflicts, and influence persuasion.
Finnish AI Region Secures Second Term with Top Marks from EU
Finnish AI Region (FAIR) EDIH has been selected to continue operations for a second term with excellent ratings. European Union continuation funding enables service expansion from the beginning of 2026. Aalto University is one of 10 partners in FAIR.
Aalto in 2025: Quantum leaps, creative breakthroughs and solutions for a better life
Growth, technology and industrial renewal; human-centred solutions; health and everyday wellbeing; and enjoyable daily life and thriving communities.
A new way to measure contagion: the gut bacterium behind blood poisoning can spread like influenza
Neither the antibiotic-resistant nor the highly virulent strains are the most transmissible.
Sebastian Szyller: I want to make machine learning more dependable and resilient to attacks
Sebastian Szyller has been appointed assistant professor at Aalto University Department of Computer Science as from 1 September 2025. He studies how to train privacy-preserving machine learning models, how to safeguard them and ensure robust predictions in untrusted environments
Meet the new ELLIS Institute PIs: Azade Farshad advances AI for medical applications
Farshad’s research background is in computer vision and generative models.
Aalto students and researchers shape together how we age with AI at Junction hackathon 2025
The 'Aging with AI' hackathon challenge sparked a winning solution connecting generations over shared learning experiences, preserving cultural skills.
Expand your professional network by joining the Thematic Working Groups (TWG)
Thematic Working Groups are enabling partners to openly discuss, collaborate and build thought leadership around solutions to real industry challenges.
AI at the speed of light just became a possibility
Researchers have demonstrated single-shot tensor computing at the speed of light.
Three new Academy Professors at Aalto University
Tuomas Hytönen, Mikko Möttönen and Aki Vehtari from the School of Science have been appointed as Academy Professors – congratulations to all!
Assistant Professor Jiancheng Yang improves healthcare with AI
Yang is one of the nine newly recruited professors joining the ELLIS Institute Finland as principal investigators.Â
AI use makes us overestimate our cognitive performance
New research warns we shouldn’t blindly trust Large Language Models with logical reasoning –– stopping at one prompt limits ChatGPT’s usefulness more than users realise.
Hitesh Monga shaped his path in Aalto from a summer intern to a master’s graduate
Hitesh Monga, graduate from Communication Engineering master's major, shares the path that lead him ÄûÃʵ¼º½ and beyond
Introducing Qi Chen: Trustworthy AI requires algorithms that can handle unexpected situations
AI developers must focus on safer and fairer AI methods, as the trust and equality of societies are at stake, says new ELLIS Institute Finland principal investigator Qi Chen
The research puzzle of when humans and AI don’t see eye to eye
Francesco Croce works on robustness in multi-modal foundation models
A rap algorithm led him to research language models at Google DeepMind – now Eric Malmi returns ÄûÃʵ¼º½ as an adjunct professor
Eric Malmi received his PhD from Aalto University in 2018 with a dissertation that developed AI methods for linking historical records and family trees. At Google DeepMind he has developed Gemini language models and a chess AI. He returned to his alma mater because of ELLIS Institute Finland.
