

Nov
13
9:00 AM09:00

Sep
1
to Sep 4
FCAI SIG Edge AI: Summer School on Edge AI 2025
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Jun
16
9:00 AM09:00
FCAI SIG Edge AI Workshop: Future landscape of telecom and computing in the post LLM era
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Jun
2
2:00 PM14:00
Daniel Schmidt: Fundamental limitations of foundational time series forecasting models: The need for multimodality and rigorous evaluation
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May
26
5:00 PM17:00

May
26
2:00 PM14:00
Klaus Nordhausen: Identifiable Variational Autoencoders for Modelling Multivariate Spatio-Temporal Data
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May
14
12:00 PM12:00
Visiting lecture — Q. Vera Liao: Human-Centered AI Transparency: Bridging the Sociotechnical Gap
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May
14
10:00 AM10:00

May
8
2:00 PM14:00
François-Xavier Briol: Robust and Conjugate Gaussian Processes Regression
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Apr
15
12:30 PM12:30

Apr
14
2:00 PM14:00
Ossi Räisä: Noise-Aware Differentially Private Regression via Meta-Learning
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Apr
8
1:00 PM13:00

Mar
31
5:00 PM17:00

Mar
28
9:00 AM09:00

Mar
19
1:00 PM13:00
FCAI + FAME SIG: AI for Inverse Problems and Imaging Kickoff Event
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Mar
17
11:00 AM11:00
Neuroimaging, AI, and Cognitive Health: Big Data for Neuroscience
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Feb
20
2:00 PM14:00
Melih Kandemir: Embodied Estimators for Full Autonomy
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Feb
12
5:00 PM17:00
Encounters with the Machine: Humanity and AI (Hanaholmen 50)
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Feb
5
8:30 AM08:30
AIX Forum - Medical Device Regulation and AI: Success Stories
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Feb
4
12:30 PM12:30

Feb
3
5:00 PM17:00

Jan
15
1:00 PM13:00

Dec
19
2:00 PM14:00
Tor Fjelde: Turing.jl: a general-purpose probabilistic programming language
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Dec
9
2:00 PM14:00
Linda Mannila: AI in the classroom – designing AI literacy for K-12 education
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Dec
3
9:00 AM09:00

Dec
2
5:00 PM17:00

Dec
2
2:00 PM14:00
Antti Oulasvirta: Better AI with Better Human Models
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Nov
29
9:30 AM09:30
Grigorios Tsoumakas: Neural Abstractive Summarization
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Nov
28
2:30 PM14:30
Industry and Society Webinar: Empirical design of experiments with AI
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Nov
27
4:00 PM16:00
CRAI-CIS Seminar: The value of structural features for cross-language prominent content analysis
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Nov
21
2:00 PM14:00
Fabrizio Ventola: Robust probabilistic circuits for efficient and reliable predictions
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