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Cross-AI BiGAI 2026 : 1st Frontier Workshop on Brain-Inspired Green AI: Intelligent Technology for a Sustainable Earth

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Link: https://cross-ai.io/conference/2027/preconf/bigai-2026/
 
When Dec 14, 2026 - Dec 16, 2026
Where Online
Submission Deadline Oct 26, 2026
Notification Due Nov 16, 2026
Final Version Due Nov 30, 2026
Categories    artificial intelligence   brain-inspired ai   neuromorphic ai   energy-efficient intelligence
 

Call For Papers

Cross-AI Workshop on Brain-Inspired Green AI: Intelligent Technology for a Sustainable Earth (BiGAI 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.

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Introduction

Artificial intelligence is advancing rapidly while creating growing demands for electricity, water, semiconductor materials, and computing infrastructure. A new paradigm is needed to make AI more energy- and resource-efficient while protecting Earth’s environment. The human brain provides a compelling model: it supports perception, learning, memory, and reasoning within an energy budget of approximately 20 watts.

Brain-Inspired Green AI (BiGAI) explores how principles from biological intelligence can guide the development of next-generation AI that is dramatically more efficient, sustainable, safe, and human-centered. The workshop brings together research spanning neuromorphic computing, emerging hardware, biological and hybrid computing, sustainable infrastructure, and responsible AI governance. Its long-term vision is to create intelligent systems that learn and compute with radically lower energy and resource requirements while preserving human agency, biological safety, and environmental responsibility.

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Core Tracks

1. Brain-Inspired & Algorithmic Paradigms
2. Emerging Hardware, Physics & Biotechnology
3. Infrastructure & Lifecycle Sustainability
4. Metrology, Safety & Human-First Governance
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Topics & Important Dates (AoE)

Please visit the workshop website:
https://www.cross-ai.io/conference/2027/preconf/bigai-2026/
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Submission

Please follow the workshop website to submit papers/posters/demos/lightning talks. Accepted full/short/poster/demo papers will be published in the indexed proceedings.

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