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Research Archive

Peer-reviewed research, practical reports, and open datasets exploring the intersection of ecological preservation and machine intelligence.

Showing 4 results

Machine LearningPublication

Energy-Efficient Neural Architectures for Carbon-Negative Edge Computing

Chen, S., Aris, M., & Thorne, J.

A practical approach to sparse quantization that reduces inference energy consumption without compromising accuracy.

Oct 18, 2024 · Read publication →
Climate PolicyResearch Report

Policy Framework for Trans-Border AI Data Sovereignty in Climate Accords

International Ethics Board for GSAI

A guide for policymakers managing collaborative climate data across jurisdictions while ensuring algorithmic accountability.

Sep 6, 2024 · Read publication →
Bio-AcousticsPublication

Amazonas-Acoustic-V2: A Multi-Spectral Biodiversity Dataset

GSAI Field Research Team

An open collection of rainforest acoustic signatures tagged with machine-learning verified species observations.

Aug 14, 2024 · Read publication →
Ethics & GovernanceArticle

Beyond Efficiency: Restorative AI Paradigms for Decolonial Computing

Dr. Elara Vance

Examining the extractive nature of large-scale systems and proposing alternative frameworks inspired by indigenous stewardship.

Jul 22, 2024 · Read publication →