FlareSight AI’s Scientific Vision and Contributions at ICONSAD’24
- DefneNil Pekdemir
- Jan 17
- 2 min read
Solar flares pose significant threats to satellite operations and global technological infrastructure, leading to communication disruptions, navigation failures, and power grid disturbances. At ICONSAD’24 – The 4th International Congress on Scientific Advances, FlareSight AI took center stage with its groundbreaking approach to solar flare forecasting.
Our AI-driven innovation not only addresses the unpredictability of solar activity but also provides reliable, early warnings to safeguard critical systems. Here’s an overview of our research presented at this prestigious event and the potential it holds for reshaping satellite safety.
Key Highlights from Our ICONSAD’24 Presentation
AI-Driven Solar Flare Detection
FlareSight AI leverages cutting-edge Convolutional Neural Networks (CNNs) to predict solar flare activity with remarkable accuracy. By analyzing NASA’s Solar Storm Recognition Dataset—comprising over 27,000 images—our system processes both magnetogram (magnetic field maps) and continuum (optical) data for enhanced precision.
Innovative Data Processing
The application of masking algorithms ensures our models focus on critical data regions, boosting feature extraction and accuracy.
Two distinct AI models were developed: one for magnetic field data and another for optical sunspot analysis, achieving prediction accuracies of 93% and 91% respectively.
User-Friendly Integration
Our system is deployed via a Python-based Gradio interface, allowing real-time classification of solar activity. This intuitive design empowers users to make informed decisions promptly.
Future Development Goals
We aim to expand FlareSight AI’s capabilities by integrating real-time data streams and magnitude intensity forecasts, pushing the boundaries of solar flare prediction technology.
Building Bridges at ICONSAD’24
The congress provided an invaluable opportunity to share our vision with a global audience and build meaningful connections with researchers, decision-makers, and industry leaders.
What We Gained:
Networking with Experts: We engaged with key players in the aerospace and telecommunications sectors, opening doors to potential partnerships and collaborations.
Validation of Our Approach: The feedback from the scientific community reinforced the importance of FlareSight AI’s mission and its potential to address real-world challenges.
Visibility for Our Innovation: ICONSAD’24 amplified our reach, positioning FlareSight AI as a frontrunner in satellite safety and AI-driven solar forecasting.
Conference Paper Title: FlareSight AI: AI-Powered Solar Flare Forecasting System
Conference Paper:
Proceedings Book:
Proceedings Reference: ICONSAD'24 Proceedings Book, pp. 312.
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