ASPECT
A Scientific Prescription for the Efficient Classification of Technology
The ASPECT framework is a standardized methodology for classifying and describing technology components within the ACORN ecosystem. It provides a structured approach to defining the attributes and relationships of various technological elements, ensuring consistency and interoperability across different systems and applications.
ASPECT was designed with the goal of unifying our understanding of automation, AI/ML technology, and “classical” software. We focus on “technology” instead of “AI/ML technology” because the latter is a subset of the former. Furthermore, focusing on AI/ML as the end goal is not fruitful or correct. In fact, doing so is backwards. AI/ML software is not novel in any meaningful sense. Even if it was, it would still be 100% predicated on the scientific principles of software.
In the context of technology, AI/ML and automation are the same.
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Key Components
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💼 Portability
- Limited
- Source
- Containerized
- Installer
- Automated Installer
- WebAssembly
🤝 Autonomy
- Manual
- Machine-assisted
- Human-as-primary
- Machine-as-primary
- Human-supervised
- Machine-only
📈 Maturity
Maturity uses an augmented version of technology readiness levels (TRL) and includes levels 1 through 9
🦾 Motivity
- Type 0
- Type 1A
- Type 1B
- Type 2
💾 Data
- Real or Synthetic
- Availability
- Modality
- Quality
🖥️ (Hardware) Resources
- CPU
- GPU
- TPU
- FPGA
- Quantum
- Neuromorphic
- Other
🎯 Task Classification
- Perceive
- Reason
- Project
Real-world Example
The ASPECT framework can be applied in various scenarios
- AI-driven Gravity Mapping
- 💼 Source (Level 1)
- 🤝 Machine-assisted (Level 1)
- 📈 Developed (TRL 5)
- 🦾 Type 2
- 💾 Trained on Real, Unavailable, Silver quality, Textual modality data
- 🖥️ GPU
- 🎯 Perceive, Reason