Fusion Intelligence System for Edge AI Energy Reduction
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Solution Overview
Problem
Existing IoT-edge sensor systems that rely on AI for real-time decision making face limitations in range, resolution, accuracy, and energy efficiency, making complex systems at the 'edge' impractical.
Innovation Solution
A fusion intelligence system that integrates natural intelligence (NI) subsystems with artificial intelligence (AI) subsystems, leveraging the sensory and actuation capabilities of natural beings like insects to enhance AI decision making and overcome the limitations of traditional sensor systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional sensor systems and AI systems are used at the edge, then real-time decision making capability is improved, but energy consumption increases and system complexity becomes impractical
Solution Approach 1:
The system divides intelligence into two segments: natural intelligence (biological beings) handles perception and initial processing at the edge, while artificial intelligence handles complex decision-making centrally. This segmentation allows real-time response through biological systems without requiring energy-intensive AI processing at the edge.
Solution Approach 2:
Natural beings act as intermediaries between the physical environment and AI systems. They convert environmental stimuli into actionable information that AI can process, reducing the energy burden on edge AI systems while maintaining real-time decision-making capability.
2Measurement precision
If traditional sensor systems are used, then measurement capability is provided, but measurement precision and range are limited
Solution Approach 1:
The system uses natural beings as living copies of sensor systems. Their biological sensing mechanisms (eyes, ears, noses) replicate and enhance traditional sensor capabilities with superior precision and range, avoiding the need for complex arrays of artificial sensors.
Solution Approach 2:
The system creates a composite intelligence framework combining natural biological sensing systems with artificial intelligence processing. This composite approach leverages the strengths of both natural and artificial systems to achieve high measurement precision without proportionally increasing system complexity.
3Extent of automation
If AI systems operate independently, then automation is achieved, but understanding and applying general knowledge or common sense is limited
Solution Approach 1:
The system merges natural intelligence (which possesses common sense and general knowledge through evolution) with artificial intelligence (which provides automation and processing power). This combination allows automated systems to understand and apply general knowledge by leveraging the complementary strengths of both intelligence types.
Data Source
AI summary
A fusion intelligence system comprising a natural intelligence (NI) subsystem coupled to an artificial intelligence (AI) subsystem. The NI subsystem comprises sensors or actuators that are configured to interface with natural beings. The NI subsystem is configured to collect data from a physical environment and transmit the data to the AI system for training one or more AI models that are configured to monitor and control the NI subsystem.