Page 709 - AI for Good Innovate for Impact

AI for Good Innovate for Impact

parsing and generation. At the same time, general capabilities will be maintained and
optimized to ensure the model's stability and applicability across different domains. In the
long term, general capabilities will continue to be optimized to maintain model stability and
broaden applicability across different subfields of astronomy and related disciplines including cities 4.8: Smart home/
astrochemistry, mathematical reasoning etc..
5.2. Data Collection and Augmentation: High-quality astronomical datasets will be expanded to
include a wider variety of astronomical data. Data augmentation techniques will be applied to
create more diverse training samples, addressing data scarcity and increasing both the diversity
and breadth of the dataset. Long-term efforts will focus on curating specialized datasets aligned
with emerging research challenges in astrophysics and cosmology.
5.3. Model Explainability and Scientific Validity: Explainable AI techniques will be introduced
to make the decision-making process of the model more transparent, ensuring its scientific
validity and credibility. Specifically, reinforcement learning(RL) will be explored to guide and
expose the model’s reasoning steps, providing clearer insight into how predictions are made.
Regular error analysis will be conducted to identify and address the limitations of the model,
ensuring its long-term stability and reliability. [5][12]

5.4. Internationalization and Open Collaboration: We plan to open-source models and datasets
to promot global sharing and technological advancement. Short-term collaborations will
focus on establishing partnerships with leading astronomical research institutions, AI research
laboratories, and universities. In the long term, we plan to actively participate in international
activities organized by ITU's Focus Group FG-AI4NDM (Focus Group on AI for Natural Disaster
Management) and the IAU(International Astronomical Union), with the aim of fostering
sustained multinational collaborations. By advancing astronomical research and strengthening
international scientific cooperation, we strive to contribute to the achievement of the United
Nations SDGs and promote the well-being of humanity.

3 Use Case Requirements

You can access AstroOne by visiting https:// astroone .zero2x .org/ through an internet-
connected device. You can locally deploy AstroOne with 4 A100-80G GPUs.

REQ-01: High-quality multimodal astronomical data for model training.

REQ-02: Scalable cloud infrastructure for astronomical AI model deployment.

REQ-03: Integration with existing astronomical databases and analysis tools.

REQ-04: Real-time data analysis and predictive modeling capabilities for astronomical
phenomena.

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