BiGAI: Brain-Inspired Green AI
Neuromorphic Computing, Emerging Hardware, Sustainability, and Governance
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 session 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.
Topics
This open call for papers invites original contributions on the theory, methods, architectures, hardware, evaluation, and deployment of Brain-Inspired Green AI. Submissions may include technical, conceptual, empirical, or applied research addressing energy-efficient intelligence, emerging and biological computing, sustainable AI infrastructure, environmental impact, safety, and human-centered governance, including but not limited to:
Brain-Inspired & Algorithmic Paradigms
- Neuromorphic and brain-inspired AI
- Spiking and event-driven computing
- Sparse, modular, and adaptive architectures
- Continual and lifelong learning
- Ultra-low-power AI within 1–20 watt budgets
Emerging Hardware, Physics & Biotechnology
- Wetware computing and organoid intelligence
- Biological–electronic hybrid systems
- DNA and biomolecular information storage
- Compute-in-memory and brain-inspired memory
- Analog, memristive, and emerging devices
- Photonic and optical AI
- Energy-efficient semiconductor technologies
Infrastructure & Lifecycle Sustainability
- Low-carbon and low-water AI infrastructure
- Renewable-energy-powered AI
- Advanced cooling and waste-heat recovery
- Sustainable data centers and Edge AI
- Circular and recyclable AI hardware
- AI lifecycle and environmental impact assessment
Metrology, Safety & Human-First Governance
- Human oversight, transparency, and agency
- Biological safety and containment
- Intelligence-per-joule and resource-efficiency benchmarks
- Responsible innovation and global governance
Submission Types
We welcome original research and practical work on the topics above in two forms:
- Papers: Full, Short, Poster, and Demo Papers.
- Abstracts: Poster-Only, Demo-Only, Lightning Talk, and Previously Published Work.
Position and vision papers are also welcome, submitted as Short Papers.
Submission Guidelines
Submissions are made through the AirBalloon conference management system. Full and Short Papers are reviewed double-blind.
Before submitting, read the Author Guidelines, the Submission Guidelines, the Publication and Media Hosting guidelines, and all policies, then complete the Checklist for Initial Submission. Submissions that do not follow the guidelines and policies are desk-rejected under the Desk Rejection Policy.
Call for Reviewers
To serve on the workshop program committee or as a reviewer, please apply online. Applicants may select multiple workshops relevant to their expertise. Approved applicants may be invited to review papers. Qualified reviewers will be acknowledged as external reviewers. Those providing high-quality reviews will be invited to join the Program Committee.