Open research on AI, intelligent sensing, and hyperspectral imaging systems.
INFONET-Research is an open research organization focused on advancing:
- Artificial Intelligence (AI)
- Intelligent Sensing Systems
- Hyperspectral Imaging (HSI)
- Foundation Models & LLMs
- AI Agents & Multi-Agent Systems
- Signal Processing & Machine Learning
- Efficient AI Systems
We develop reproducible research, open-source implementations, datasets, and scalable AI systems for real-world intelligent sensing and AI applications.
Research on scalable transformer architectures, efficient training, and large language models.
Machine learning methods for sensor intelligence, signal understanding, and real-world perception systems.
Deep learning and signal processing techniques for hyperspectral image classification, restoration, super-resolution, and representation learning.
Autonomous AI agents, collaborative reasoning systems, and agent-based intelligence.
Advanced signal processing algorithms integrated with modern machine learning frameworks.
| Project | Description |
|---|---|
hsi-foundation-models |
Foundation models for hyperspectral imaging |
spectral-intelligence |
Deep learning for intelligent sensing systems |
llm-systems |
Efficient transformer and LLM training |
multi-agent-ai |
AI agents and collaborative reasoning |
signal-learning |
Signal processing and machine learning research |
We aim to bridge:
- AI and sensing technologies
- Foundation models and real-world systems
- Signal processing and modern deep learning
- Scalable research and practical deployment
Our goal is to build trustworthy, efficient, and intelligent AI systems for future sensing and perception environments.
Selected papers, technical reports, and open-source implementations will be released here.
We welcome collaborations, discussions, and research contributions.
Unless otherwise specified, projects are released under the MIT License.
INFONET Lab.
AI & Intelligent Sensing Research