More certainty for deep learning
With the support of Saab, doctoral student Lassi Meronen is developing models for deep learning that can be used, for example, in radars and medical diagnosis.
Deep learning, machine learning and artificial intelligence offer significant opportunities to solve the challenges of different disciplines and make our lives easier in many ways.
Lassi Meronen develops deep learning models that know how to estimate their own uncertainty computationally.
"There is still a lot to be developed in technology modeling, especially in assessing uncertainty. Deep learning models may fail, for example, in situations where the model encounters something new that it has not seen before. Saab offers many fascinating, real-life application challenges that take my research forward,” says Lassi Meronen.
He discusses the topic in a video with Assistant Professor Arno Solin:
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TUM + Aalto SGT summer course brings participants closer to the complexities of governing West African countries through interactive simulation
Returning for a second consecutive year, the TUM (Technical University of Munich) + SGT summer course was hosted at Aalto University on 3-5 June 2026. The three-day course brought together students and staff from different disciplines to explore political, economic, and environmental decision-making through an interactive simulation.
Want to meet the future of deep tech? NORDEEP at Dipoli, Sept 16–17, 2026
At NORDEEP, inventors and founders can connect with investors, and Aalto’s researchers can explore the deep tech startup world and connect with peers who have already ventured into it. Tickets are available for Aaltonians.