Projects

From national sensor networks in Uganda to research on beehives and mussel beds, the community builds the sensors, AI models, and infrastructure needed to monitor and manage climate change events.

When integrated with sensors like satellites, atmospheric and water quality indicators, underground monitoring and other systems, a comprehensive multi-layered neurology for the planet is formed. One that allows analysis of climate patterns, leads to new discoveries and corrective actions, and fosters a deeper understanding of humanity’s role in the preservation of our environment.

In the field

Flagship deployments

Real, government-backed deployments of the Enterprise Neurosystem architecture, built with national ministries, research institutions, and local communities.

Uganda National AI Sensor Network

Bwindi Impenetrable Forest & Lake Victoria, Uganda

A national network of environmental sensors, approved for funding by Uganda's Minister of Science, Technology and Innovation. It starts at Bwindi's mountain gorilla habitat and a robotic AI sensor monitoring Lake Victoria's algal blooms. Data stays in Uganda, on Uganda's terms.

Uganda STI Ministry
JPL / Caltech
Makerere University

Dangermond Preserve

Santa Barbara County, California, USA

The first US deployment of the Enterprise Neurosystem architecture — a global data fabric integrating satellite data, atmospherics, ground sensors and multi-species analysis, in partnership with JPL/Caltech.

JPL / Caltech
The Nature Conservancy
NCEAS

Standards

NLIP

A GenAI-to-GenAI communications protocol, born from the Enterprise Neurosystem community and now adopted by ECMA as a global standard.

Natural Language Interaction Protocol

Proposed by Dr. Dinesh Verma (IBM Research and Enterprise Neurosystem CTO) to let GenAI systems from different vendors and countries understand one another. It is now an ECMA global standard, backed by Cisco, Hewlett Packard, Hitachi, IBM, Microsoft, and Red Hat.

Explore NLIP

Earlier & ongoing

Research workstreams

We anticipate deploying hundreds of non-intrusive sensor networks across a multitude of species in nature — forests and fungi, ant colonies, beehives, mussels, birds, kelp, coral reefs, and more.

Acoustic Analysis

IBM-donated AI software examines acoustic variance in the field. Researchers observed that bee wing frequencies inside hives closely resemble wave frequency patterns produced by Tokamak Fusion Research at Stanford SLAC.

Beehive Sensors

US bee populations decline roughly 45% annually. Multi-function sensors detect ultrasonic signals, pollutants, and gas levels inside hives, running on AI Acoustics software donated freely by IBM Research.

Mycorrhizal Network Sensors

Underground fungal networks that support plant ecosystems display electrical patterns that may be akin to morse code, and could potentially represent a form of communication.

Satellite Data Networking

In collaboration with JPL, academic and industry researchers analyze ocean pollutants, beach plastics, methane plumes, and mass changes with coverage ranging from 9×9 meter to 200×200 mile spans.

Telecommunications Research

Led by engineers from Verizon and other telecom firms, this project develops AI-enhanced 5G/6G frameworks for remote data transmission.

Neurological Framework

The community explores leveraging MEG research patterns for field architecture applications in both AI and network communications.