(TBA)
Past Awards:
IAISS 2026 Norbert Wiener Best Presentation Award in Artificial Intelligence:
“When Should a Language Model Think Again? Instability-Guided Routing for Adaptive Test-Time Compute”
Krzysztof Tylka-Suleja
AGH University of Kraków, Poland
IAISS 2025 Norbert Wiener Best Presentation Award in Artificial Intelligence:
“Extreme-Edge AI: Scalable Intelligence Under Tight Platform Constraints”
Philip Wiese, Victor Kartsch, Luca Benini
ETH Zurich, Switzerland
ACAIN 2024 Norbert Wiener Best Paper Award in Artificial Intelligence:
“Sequence Learning with Analog Neuromorphic Multi-Compartment Neurons and On-Chip Structural STDP”
Robin Dietrich, Technical University of Munich (TUM), Germany
Philipp Spilger, Universität Heidelberg, Germany
Eric Müller, Universität Heidelberg, Germany
Johannes Schemmel, Universität Heidelberg, Germany
Alois Knoll, Technical University of Munich, Germany
ACAIN 2023 Norbert Wiener Best Presentation Award in Artificial Intelligence:
“Towards an Interpretable Functional Image-Based Classifier: Dimensionality Reduction of High-Density Diffuse Optical Tomography Data”
Sruthi Srinivasan, University of Cambridge, United Kingdom
Emilia Butters, University of Cambridge, United Kingdom
Flavia Mancini, University of Cambridge, United Kingdom
Gemma Bale, University of Cambridge, United Kingdom
ACAIN 2022 Norbert Wiener Best Paper & Presentation Awards in Artificial Intelligence:
- “Brain-like combination of feedforward and recurrent network components achieves prototype extraction and robust pattern recognition”
Naresh Balaji Ravichandran, Anders Lansner and Pawel Herman
KTH Royal Institute of Technology, Sweden - “Topology-based Comparison of Neural Population Responses via Persistent Homology and p-Wasserstein Distance”
Liu Zhang1, Fei Han2 and Kelin Xia3
1 Princeton University, USA
2 National University of Singapore, Singapore
3 Nanyang Technological University, Singapore
ACAIN 2021 Norbert Wiener Best Paper & Presentation Awards in Artificial Intelligence:
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- “Effect of Geometric Complexity on Intuitive Model Selection”
Eugenio Piasini, Vijay Balasubramanian and Joshua Gold
University of Pennsylvania, USA - “Credit Assignment in Neural Networks through Deep Feedback Control”
Alexander Meulemans, Matilde Tristany Farinha, Javier Garcia Ordonez, Pau Vilimelis Aceituno, Joao Sacramento and Benjamin Grewe
ETH Zurich, Switzerland - “Reinforcement Learning in Air Traffic Control”
Lingyi Yang, Samuel Cohen and Jaroslav Fowkes
University of Oxford, UK
- “Effect of Geometric Complexity on Intuitive Model Selection”
