arXiv (OAI Expanded)
open access
Future of Artificial Intelligence for Science in Japan 2024 Community Report
This white paper summarizes scientific challenges and AI/ML research opportunities identified through the FAIRS Japan 2024 unconference process. The discussion focuses on three major physics domains: accelerator physics, cosmology and astrophysics, and neutrino physics. Although each domain has dist
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Future of Artificial Intelligence for Science in Japan 2024 Community Report#781097
- The promise of artificial intelligence in chemical engineering: Is it here, finally?#412779
- Physics-Informed Neural Networks in Aerospace: A Structured Taxonomy with Literature Review#698972
- SciANN: A Keras/TensorFlow wrapper for scientific computations and physics-informed deep learning using artificial neural networks#303001
- Toward a New Vision for Humanity#692802
Record · ID 779722
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive