Net-Zero Distributed Computing and Ecological Monitoring

Jun 1, 2024 · 1 min read
project

Overview

Reaching a sustainable and climate-resilient future by deploying net-zero distributed computing and ecological monitoring systems. This project develops hardware and software solutions for off-grid environmental data collection and analysis.

Status: Prototyping phase Funding: UC San Diego CA CARES (Climate Action, Resilience, and Environmental Sustainability) grant (completed) Lab: Lu’um AI Labs

Key Components

Data Terrarium

Solar-powered edge computing device capable of running robust computing tasks entirely on renewable energy.

Eco Data Collectors

Off-grid environmental sensors that reliably gather and transmit ecological data while operating independently of the power grid.

Validated Functionality

  • Data Terrarium can run robust computing tasks on solar power
  • Eco Data Collectors reliably gather and transmit environmental data while operating off-grid

Current Development

  • Expanding and refining system durability
  • Testing multisystem deployment scenarios
  • Testing network scalability
  • Improving LLM-based data science capabilities

Impact

This technology enables environmental monitoring in remote locations without access to traditional power infrastructure, supporting climate research and conservation efforts in underserved regions.

Climate Tech Edge Computing Ecological Monitoring Sustainability IoT
Edwin Solares
Authors
Edwin Solares (he/him)
Executive Director, ESB AI Lab Corporation
Executive Director of ESB AI Lab Corporation, a 501(c)(3) nonprofit advancing research in AI, machine learning, computer vision, and genomics. Previously a Lecturer at UC San Diego. My research harnesses AI and bioinformatics for food security and species conservation. Published in Nature Plants, PNAS, Genome Research, and G3 (h-index: 7).