This workshop aims to highlight interdisciplinary advances in neuromorphic intelligence, from software algorithms to hardware systems and their synergistic co-design. It is inspired by the brain’s efficient and parallel processing capabilities, which provide a compelling paradigm shift to address limitations of conventional deep learning in energy efficiency, real-time processing, and adaptability within dynamic environments.

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Topics

• Neuromorphic Sensing: Neuromorphic sensors (event sensors, spike sensors), data representation, simulation, processing, and applications (in Computer Vision, Audio, etc.).
• Neuromorphic Networks: Spiking Neural Networks (SNNs), Neuromorphic learning algorithms, Neuromorphic temporal processing.
• Algorithm-Hardware Co-design: Interplay between neuromorphic algorithms and their underlying hardware architecture.
• Benchmarking: Establish standardized neuromorphic methodologies and datasets to evaluate the performance, efficiency, and robustness of neuromorphic systems.

Format of Workshop

This is a one-day workshop featuring a mix of invited talks, paper presentations, and a panel session. The workshop is organized around specific topics, fostering a deep dive into the core research challenges and advancements in neuromorphic intelligence.

Submission

We invite submissions that present theoretical advancements, practical applications, and experimental results in the field of brain-inspired, energy-efficient, and real-time AI. Submissions should be formatted using the AAAI template. Long papers are limited to a maximum of 8 pages, while short papers are limited to a maximum of 4 pages, both excluding references.

Please note that this workshop does not have formal proceedings.

Please submit your papers to the following OpenReview website: https://openreview.net/group?id=AAAI.org/2026/Workshop/NI

Contact: neurointelworkshop@googlegroups.com

Important Dates

Note: all deadlines are “anywhere on earth” (UTC-12)

• Paper submission deadline: October 22, 2025 October 29, 2025
• Paper notification: November 5, 2025 November 10, 2025
• Workshop: January 27, 2026

Workshop Committee

• Dr. Yueyi Zhang, Midea, zhyuey@gmail.com
• Dr. Zongwei Wu, University of Würzburg, zongwei.wu@uni-wuerzburg.de
• Prof. Lin Wang, Nanyang Technological University, linwang@ntu.edu.sg
• Prof. Zhiwei Xiong, University of Science and Technology of China, zwxiong@ustc.edu.cn
• Prof. Pascal Vasseur, University of Picardie Jules Verne, pascal.vasseur@u-picardie.fr

Workshop Schedule

Time: Jan. 27, 2026

Location: Conference H, Singapore Expo

Poster Location: Level 2 of the Singapore EXPO (not in the Expo Halls) WS11-WS14

9:00 - 9:10 AM | Opening

• Dr. Yueyi Zhang (Midea, China)

9:10 - 9:45 AM | Invited Talk: Event-Driven Perception for Depth, Motion, and Continuous Scene Understanding

• Prof. Gim Hee Lee (NUS, Singapore)

9:45 - 10:20 AM | Invited Talk: When Bio-inspired Sensing Meet Foundation AI Models: Challenges and Approaches for Embodied AI

• Prof. Lin Wang (NTU, Singapore)

10:20 - 10:55 AM | Invited Talk: High-speed and High Dynamic Range 3D Sensing with Event-based Structured Light

• Prof. Zhiwei Xiong (USTC, China)

10:55 - 11:20 AM | Oral Presentation: E3NeRF: Efficient Event-Enhanced Neural Radiance Fields from Blurry Images

• Yunshan Qi (BUAA, China)

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11:20 AM - 1:30 PM | Break —

1:30 - 2:10 PM | Oral Presentations

• Daye Kang (Seoul City University, Korea)
• 1. Adaptive Spiking Transformer for SAR Image Classification
• 2. Reinforcement-Learned Dynamic Execution for Spiking Swin-B

2:10 - 2:45 PM | Invited Talk: Scene understanding with bio-inspired and efficient AI

• Dr. Benoit Cottereau (CNRS, France)

2:45 - 3:20 PM | Invited Talk: TBD

• Prof. Sandamirskaya Yulia (Zurich University of Applied Sciences, Switzerland)

3:20 - 3:55 PM | Invited Talk: Harnessing Graph Neural Networks and Neuromorphic Sensors for Low-latency, Low-power Edge AI

• Dr. Manon Dampfhoffer (CEA, France)

3:55 - 4:30 PM | Invited Talk: TBD

• Dr. Danda Paudel (INSAIT, Sofia University, Bulgaria)

4:30 - 4:35 PM | Closing

• Dr. Yueyi Zhang (Midea, China)

Accepted Papers

1. “Adaptive Spiking Transformer for SAR Image Classification,” Donghun Kang, Daye Kang, Hyeongboo Baek
2. “Reinforcement-Learned Dynamic Execution for Spiking Swin-B,” Daye Kang, Donghun Kang, Hyeongboo Baek
3. “Reinforcing Swarm Macro Behaviors using Spiking Neural Networks，”, Kevin Zhu, Ricardo Vega, Maryam Parsa, Cameron Nowzari
4. “E3NeRF: Efficient Event-Enhanced Neural Radiance Fields from Blurry Images”, Yunshan Qi, Lin Zhu, Yifan Zhao, Yu Zhang, Jia Li