AI Day 2024 + Nordic AI Meet

Observations on AI by a Ghostrider (2024 edition)

Henry Tirri is the Chief Technology Officer of Nokia Technologies, responsible for technology strategy and R&D for the Technologies business group. With over 25 years of experience, he has led innovative R&D organizations in Public Technology and Communications companies across EMEA and the US. Before rejoining Nokia in 2023, he was CTO at InterDigital and Group CTO at Harman International, focusing on wireless, video, AI, and emerging technologies. Previously Henry held senior executive roles at Nokia, including CTO and Executive Vice President as well as Head of Nokia Research. His background includes professorships at the University of Helsinki, Stanford, and UC Berkeley, and he is currently an Executive in Residence at Aalto University School of Business.

AI in smell and taste research: Challenges, opportunities, and the human element

Experimental psychologist and computer scientist by training, Janice is an Associate Professor of Consumer Behaviour at the University of Copenhagen. Her interdisciplinary research focuses on multisensory flavour perception and eating behaviour, in order to gain a deeper understanding of why people eat what they do, and to encourage behaviour change for a healthier, more sustainable lifestyle. Janice completed her PhD studies at Crossmodal Research Laboratory at the University of Oxford, and holds a master’s degree from the MIT Media Lab. Her research areas spans interaction design, experimental psychology, and sensory science. She works with all food products but has a special interest and expertise in wine.

Beyond words - will transformers transform public services?

Robindra Prabhu serves as a senior data scientist at NAV, the Norwegian Labour and Welfare Administration. He holds a PhD in particle physics and has experience applying machine learning techniques to data streams at CERN. Additionally, he has expertise in tech policy and assessing the societal impact of new technologies. At NAV, he heads up a team operating at the crossroads of technology, law, and ethics, with aim to integrate techniques and methodologies that may facilitate a responsible deployment of AI in the public sector.

Open Source LLMs for Sweden, the Nordic countries and Europe

Felix Stollenwerk is a Senior Research Scientist in Natural Language Understanding at AI Sweden. He holds a PhD in Theoretical Physics and has played a key role in the development of Swedish language models in recent years. As part of multiple European initiatives, his current focus is on training multilingual and multimodal open source models.

(fireside chat)
Peter Sarlin is the co-founder of Silo AI, Europe’s largest private AI lab, and a Professor of Practice at Aalto University, specializing in machine learning and AI. With a PhD in machine learning, he has a rich academic background that spans roles as a tenured professor, visiting professor and research associate at institutions like Imperial College London, London School of Economics, University of Technology Sydney, Goethe University Frankfurt, University of Pavia, Stockholm University, IWH Halle, and University of Cape Town. Peter's expertise is further recognized by his former roles as Vice Chair of the IEEE Computational Finance and Economics Technical Committee and the IEEE Analytics and Risk Technical Committee. His professional journey includes tenures at the European Central Bank and the International Monetary Fund, among others.

(panelist)
Frédéric Pascal is a full professor at CentraleSupélec and the director of the DATAIA Institute, Paris-Saclay University, France. He received a PhD in signal processing from the University of Paris Nanterre in 2006. Since 2019, he has coordinated the activities in Artificial Intelligence at CentraleSupélec and is the Givaudan chair on data sciences. Since 2017, he has been on the executive committee of the DATAIA Institute as the program coordinator. He is the author/coauthor of more than 200 papers in the top journals and conferences in Signal and Image Processing, Statistics and Machine Learning.

(panelist)
Katja Mankinen is a data scientist at CSC - IT Center for Science, engaged in diverse RDI projects and contributing to AI development. She holds a PhD from Lund University, Sweden, on searching for new physics at CERN.

AI Team Lead,
IPRally Technologies Oy

Topic: Optimizing Patent Searching by Leveraging Graph Representations and Examiner Citations

Dr., Data Analytics Consultant,
City of Espoo

Topic: Building a Smarter City: Data and AI Initiatives in Espoo.

Professor, Intelligent Robotics,
Aalto University/FCAI

Topic: A success story of academic and industrial cooperation (together with Jose Luis Peralta)

Dr., Data Team Lead,
Betolar Oy

Topic: From facilitating material research to enabling AI at the core: Case Betolar

Director,
AI Finland

Topic: How to make Finland debt-free and turn all the industrial companies to tech companies by means of AI by 2030?

Dr., CTO,
GIM Robotics

Topic: A success story of academic and industrial cooperation (together with Ville Kyrki)

Professor,
University of Helsinki, Max Planck Institute for Molecular Biomedicine and Research

Director,
Multivision Diagnostics

Topic: Multimodal image analysis for cancer diagnostics

PhD from Aalto University, 2023.
Thesis: Ownership and Confidentiality in Machine Learning