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Cross-AI ANI 2026 : 1st Frontier Workshop on Adaptive Neural Intelligence | |||||||||||||||
| Link: https://www.cross-ai.io/conference/2027/preconf/ani-2026/ | |||||||||||||||
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Call For Papers | |||||||||||||||
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Cross-AI Frontier Workshop on Adaptive Neural Intelligence (ANI 2026) will be held virtually on Dec. 14-16, 2026 in the Cross-AI Symposium 2026 (https://cross-ai.io/conference/2027/preconf/).
Authors are encouraged to select their preferred venue when submitting their papers/posters/demos. Please visit workshop webpage for more details and submission instructions. ________________________________________ Introduction The convergence of biological neural systems, artificial intelligence, advanced sensing, and edge computing is opening a new frontier in human-machine intelligence. Brain-Computer Interfaces (BCIs), high-density EEG, fNIRS, wearable neurotechnology, and multimodal sensing are moving beyond controlled laboratories toward clinical, consumer, robotic, and extreme environments. This workshop focuses on the frontier of neural intelligence across this continuum. It begins with robust neural sensing and structured representations of noisy, non-stationary signals, advances toward adaptive representation that can generalize across users, sessions, and environments, and brings these capabilities to edge intelligence for resource-constrained, real-time inference. These foundations enable reliable human-machine systems and ultimately extend neural intelligence into extreme environments, including future space missions. This progression connects machine learning, neuroscience, neuroengineering, robotics, embedded systems, and aerospace technology around fundamental advances in geometric and statistical neural representations, dynamic covariance modeling, self-supervised learning, continual adaptation, zero-calibration decoding, neuro-AI-hardware co-design, and efficient neural computing. The workshop aims to advance neural intelligence from static laboratory decoding toward adaptive, resource-aware, and robust systems capable of operating across users, sensors, environments, and missions. ________________________________________ Core Tracks 1. Adaptive Neural Learning 2. Neuro-AI and Edge Systems 3. Extreme and Space Environments 4. Safety, Privacy, and Responsible Neurotechnology ________________________________________ Topics & Important Dates (AoE) Please visit the workshop website: https://www.cross-ai.io/conference/2027/preconf/ani-2026/ ________________________________________ Submission Please follow the workshop website to submit papers/posters/demos. Accepted full/short/poster/demo papers will be published in the indexed proceedings. ________________________________________ Cross-AI Google Group Welcome to subscribe to the Cross-AI Google group (https://groups.google.com/g/multimodal-ai). |
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