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:
- Published:
- Updated:
Read more news
The MBA Alum of the Year Found Meaning Challenges in the Humanitarian Field – “I Have a Talent for Managing Crises”
The MBA Alum of the Year 2023 award has been granted to Päivi Hurttia who has pursued a career in journalism and communications, among other things. Hurttia recently returned from Ethiopia where she spent a year working at the International Committee of the Red Cross, ensuring the safety of humanitarian assistance to all regions.
International theses workers provide new ideas for business operations
Thesis Fair helps international students connect with Finnish companies and find master’s thesis positions.
Workshop photo gallery: At the frontiers of physics and biology
This three day event included talks, poster presentations, and cross-disciplinary collaboration