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:
Read more news
Helene Auramo started her career as an entrepreneur at TaiK’s Arabus incubator
The University of Art and Design Helsinki launched the Arabus business incubator in 2007 in Arabianranta. A couple of years later, Arabus merged into the Aalto StartUp Center and moved to Salmisaari.
Artefacts of Remembrance: First prize in Milan glass competition
CoDe student Ariane Carde wins first prize in the Milano Vetro Under 35 competition.
Design at the start of the supply chain – Aalto University leads a major EU project to transform textile colouration practices
The EU Horizon-funded MELANGE project brings together design, technology and business to rethink colouration practices in the textile industry and accelerate the transition towards circular and sustainable textile systems.