Advancing the Future of AI-Driven Solutions
Relentlessly Pushing the Boundaries of Connectivity, with Responsibility and Purpose.
💡 Empowering AI. Transforming Industries. 🚀
We prioritize confidentiality and security in all our projects. To maintain this, our repositories are private, ensuring our solutions and intellectual property remain secure. Here’s how we operate:
- Private Repositories: All project details, codebases, and documentation are securely stored in private repositories.
- ReadMe Accessibility: For transparency, we provide detailed ReadMe files that outline project objectives and capabilities—accessible to everyone for clarity and exploration.
- Customized Access: Partners and clients receive specific access tailored to their projects, ensuring seamless collaboration while safeguarding sensitive data.
- Trusted Partnerships: We are open to collaborating with trusted partners who share our vision for advancing AI innovation.
Empowering industries with cutting-edge AI technologies for real-world applications.
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Orbital Intelligence: Real-time AI inference for satellite systems.
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Airwave NanoML: Optimized lightweight AI models for wireless networks.
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FusionAI Networks: Hybrid AI frameworks for seamless integration of edge and cloud.
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Knowledge Hub: Comprehensive documentation and tutorials.
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AI Enablement Suite: Tools for data preparation, model evaluation, and deployment.
Real-time AI solutions for satellite networks:
- Satellite communication optimization.
- Environmental monitoring.
- Disaster management.
Lightweight AI models for wireless systems:
- Latency reduction in IoT.
- 5G network optimization.
- Real-time outage prediction.
Hybrid AI frameworks for telecom networks:
- Cloud-edge integration.
- Predictive maintenance.
- Bandwidth and latency optimization.
Each project is divided into three domains:
- Satellite: AI for satellite communication.
- Wireless: Lightweight AI models for wireless systems.
- Wireline: Hybrid solutions for wired networks.
Follow the steps below to set up the environment and run the workflows for each project:
git clone https://github.com/AIDEdgeInc-Lab/Core-Projects.git- Step 3: Run Individual Projects
- Navigate to the Scalable-Real-Time-Edge-AI-Frameworks folder:
cd Scalable-Real-Time-Edge-AI-Frameworks- Run the inference script:
python inference.py --input data/sample_input.jpg- Navigate to the NanoML-Acceleration-Suite folder:
cd NanoML-Acceleration-Suite- Run the model quantization script:
python quantize_model.py --model models/model.tflite- Navigate to the FusionAI-Adaptive-Networks folder:
cd FusionAI-Adaptive-Networks- Set up the cloud-edge integration:
python cloud_edge_setup.py --config configs/cloud_edge_config.yaml- Run the hybrid inference model:
python hybrid_inference.py --input data/input.jsonAt AID Edge Inc., we believe in providing transparency to our customers by sharing the code and workflows behind our cutting-edge AI solutions. While the code is accessible for viewing, only our internal team works on developing and maintaining these projects.
For Our Customers:
Feel free to explore the code and workflows for our solutions:
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Edge AI Frameworks: Real-time AI deployment for edge devices.
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NanoML Suite: Optimization of models for resource-constrained environments.
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FusionAI Networks: Integration of edge and cloud intelligence.
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Internal Development: These repositories are actively maintained and updated by our in-house team. For security and quality purposes, only the internal team has access to modify or develop the codebase.
Explore in-depth guides and tutorials to understand and use our solutions effectively:
- Getting Started: Learn how to set up and begin using our solutions.
- FAQs: Answers to common questions about our tools and platforms.
- Detailed Guides: Tutorials and step-by-step instructions for each project.
📖 Access our full documentation Knowledge Hub.
Discover additional tools and resources that can enhance your AI development process:
- Data Preparation Tools: Automate preprocessing and formatting of datasets.
- Model Evaluation Scripts: Benchmark and evaluate model performance.
- Deployment Scripts: Simplify deployment workflows for edge and cloud environments.
🔗 Explore the tools repository AI Enablement Suite.
For questions, feedback, or to learn more, reach out to us:
- 📧 Email: info@aidedgeinc.com
- 🌐 Website: www.aidedges.com
We value your feedback and are happy to assist with any questions or requirements!
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