FCAI INDUSTRY & SOCIETY WEBINAR
Deploying deep learning-based models in projects and real-world cases – challenges and solutions
Thursday, March 11, 2021 at 14:00–16:00 (Helsinki time)
Deep learning plays a major role in many contemporary artificial intelligence applications. It has shown impressive power in tasks which require human-like perception and understanding of visual or auditory data, or interpretation of vast collections of information. Even if these models show impressive results and are widely used, they are far from perfect and still under active research. This webinar brings up questions and challenges related to deep learning in practice, such as interpretability, trustworthiness, data bias, and quantification of uncertainty. Invited speakers from both industry and academia provide views into challenges in deep learning, and the audience can submit questions for the panel discussion.
Program
14:00 Introduction to FCAI and its research program on Next-generation data-efficient deep learning, professor Arno Solin, Aalto University and FCAI [slides] [video]
14:10 Deploying deep learning-based models in projects and real-world cases – challenges and solutions
15:10 Panel discussion: Challenges and potential solutions, chair Arno Solin [video]
Audience is encouraged to send questions to the panel beforehand and during the event.
15:40 Funding instruments to support collaboration, Heikki Ailisto, VTT and FCAI ISP lead [slides] [video]
15:50 Wrap-up, Arno Solin
16:00 End of the event
Please register to the webinar through this link latest by Monday 8.3.2021 >>
NOTE: You can send questions to the panelists already beforehand via the registration form or by sending an email to terhi.kajaste at aalto.fi. The webinar link will be sent to the participants latest in the morning of the event.