Technical Research & Engineering

GLOBAL INTENT COMPANY

Interactive technical environment for machine learning, scientific instrumentation, computational systems, experiments, and project evidence.

Developed independently by founder and researcher Cory Tortorici. Source code, controlled experiments, null results, architectural iterations, and public research logs are made inspectable across all project nodes.

Source Repositories

Laboratory Chronology

LATEST FROM THE LAB

Recent empirical findings, architectural iterations, and null results surfaced directly from active research logs.

Active laboratory research log entries with timestamped records are available in the full research log.

Interactive Spatial Knowledge Graph

EXPLORE THE RESEARCH

Navigate the connected network of research projects, architectural pipelines, and domain clusters in real-time 3D.

Rotate • Zoom • Click Nodes to Unfold

60 FPS

Tier:

Focused on Virtual Lab • Orbiting sub-nodes active

Domains:

SPATIAL FOCUS:Virtual Lab•Virtual Lab

GitHub

Virtual LabKind: researchActive Development / Operational PoC[VIRTUAL-LAB-CORE]

Virtual Lab

GI-Company/virtual-lab-mobile

Platform for ensuring scientific observations remain attributable, verifiable, reproducible, and inspectable from physical acquisition through derivation.

Core Research Question:"How can a scientific observation remain attributable, verifiable, reproducible, and inspectable from physical acquisition through analysis and derived results?"

Structural Overview

Virtual Lab specifies an architectural framework for packaging scientific experiments into self-contained .vlab artifacts. Raw readings, calibration factors, execution environment parameters, and intermediate transformations are structured with cryptographic signatures and content-addressed hash chains.

Canonical Source Artifact

GitHub Repository

Supporting RepositoryPublic

GI-Company /virtual-lab-mobile

Mobile scientific acquisition and edge sensor node repository supporting the broader Virtual Lab architecture.

Canonical GI-Company Source

VIEW SOURCE

Design Invariants & Principles

[1]End-to-End Attributability: Raw observations must preserve physical device metadata and sensor calibration states (DESIGN CLAIM / HYPOTHESIS).

[2]Authenticated Manifest Security: Checksum manifests are vulnerable to recomputation without cryptographic authentication (EXPERIMENT-VERIFIED).

[3]Universal Reproducibility: A complete experimental envelope enables deterministic replay of analysis state (DESIGN CLAIM / HYPOTHESIS).

Sequential Pipeline & Processing Stages

Physical WorldSensor Acquisition

Camera, RF, IMU, audio, environmental sensors capturing real-world phenomena.

Sensor NodeEdge Ingestion

Formats sensor readings with hardware clock timestamps and device calibration matrices.

Raw Artifact EnvelopeImmutable Storage

Encapsulates genesis.db, observations, raw assets, and acquisition metadata.

Experiment CoreAnalysis, Replay & Derivation

Deterministic computational routines generating derived artifacts with explicit provenance links.

Instrument ConsoleOperator Interface

Desktop console providing live topology, timeline inspection, and integrity validation.