SOFTWARE-BASED MASS CUSTOMIZATION OF ARTIFICIAL NEURAL NETWORKS AND ITS BENEFITS (RFT-681)
Invention Summary
Artificial intelligence (AI) and machine learning (ML) technologies are transforming various industries by enabling sophisticated data analysis and decision-making. The adaption of these technologies is often hindered by complexity, the lack of explainability, and resource requirements. This technology supports providing a user-friendly software platform designed for the mass customization of artificial neural networks (ANNs). The platform employs a diagramming interface, allowing users to create, visualize, and customize neural network models with ease.
Key Features
- Enables a Drag-and-Drop Interface: users can construct neural networks by dragging and dropping neuron and link objects, streamlining the model creation process
- Batch Creation: allows the generation of multiple neurons and layers simultaneously, simplifying the development of complex models
- Neuron-Level Customization: users can modify individual neurons' activation functions, weight initializations, and connectivity, facilitating the creation of heterogeneous neural networks
- Coordinate Mapping System: a Cartesian plane coordinate system helps users keep track of neural network components, improving model management
Benefits
- Accessibility: simplifies the process of building and customizing neural networks, making advanced AI and deep learning (DL) technologies accessible to users with varying levels of expertise
- Flexibility: enables detailed customization at the neuron level, allowing users to tailor models to specific applications and experiment with different configurations
- Efficiency: automates the creation of backend logic, saving time and reducing the need for extensive technical knowledge
- Scalability: supports the creation of large-scale, complex models through batch creation and easy visualization tools
Applications
- Healthcare: developing diagnostic models and personalized treatment plans
- Finance: fraud detection, risk assessment, and predictive analytics
- Autonomous Vehicles: enhancing decision-making processes for vehicle navigation and safety systems
- Cybersecurity: intrusion detection and threat analysis
- Natural Language Processing: improving language translation, sentiment analysis, and conversational AI
Patent
This technology has a U.S. Patent Pending and is available for licensing/partnering opportunities.
Contact
NDSU Research Foundation
info(at)ndsurf(dot)org
(701) 231-8173
NDSURF Tech Key
RFT, 681, RFT681
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