Engineering Artificial Intelligence: Framework, Challenges, and Future Direction
Fuente:
arXiv
Saved in:
| Main Authors: | Lee, Jay, Su, Hanqi, Ji, Dai-Yan, Minami, Takanobu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Machine Learning Approaches for Diagnostics and Prognostics of Industrial Systems Using Open Source Data from PHM Data Challenges: A Review
by: Su, Hanqi, et al.
Published: (2023)
by: Su, Hanqi, et al.
Published: (2023)
A Unified Industrial Large Knowledge Model Framework in Industry 4.0 and Smart Manufacturing
by: Lee, Jay, et al.
Published: (2023)
by: Lee, Jay, et al.
Published: (2023)
Rethinking industrial artificial intelligence: a unified foundation framework
by: Lee, Jay, et al.
Published: (2025)
by: Lee, Jay, et al.
Published: (2025)
Developing and Deploying Industry Standards for Artificial Intelligence in Education (AIED): Challenges, Strategies, and Future Directions
by: Tong, Richard, et al.
Published: (2024)
by: Tong, Richard, et al.
Published: (2024)
2026 Roadmap on Artificial Intelligence and Machine Learning for Smart Manufacturing
by: Lee, Jay, et al.
Published: (2026)
by: Lee, Jay, et al.
Published: (2026)
Artificial Intelligence for Personalized Prediction of Alzheimer's Disease Progression: A Survey of Methods, Data Challenges, and Future Directions
by: Koksalmis, Gulsah Hancerliogullari, et al.
Published: (2025)
by: Koksalmis, Gulsah Hancerliogullari, et al.
Published: (2025)
Artificial Intelligence and Its Future Scope
by: Pawar, Akshada Ramesh
Published: (2026)
by: Pawar, Akshada Ramesh
Published: (2026)
Exploring Incremental Unlearning: Techniques, Challenges, and Future Directions
by: Qureshi, Sadia, et al.
Published: (2025)
by: Qureshi, Sadia, et al.
Published: (2025)
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
by: Mersha, Melkamu, et al.
Published: (2024)
by: Mersha, Melkamu, et al.
Published: (2024)
Federated Fine-Tuning of LLMs: Framework Comparison and Research Directions
by: Yan, Na, et al.
Published: (2025)
by: Yan, Na, et al.
Published: (2025)
Medical Multimodal Foundation Models in Clinical Diagnosis and Treatment: Applications, Challenges, and Future Directions
by: Sun, Kai, et al.
Published: (2024)
by: Sun, Kai, et al.
Published: (2024)
Foundations of Artificial Intelligence Frameworks: Notion and Limits of AGI
by: Bui, Khanh Gia
Published: (2025)
by: Bui, Khanh Gia
Published: (2025)
Deep Learning within Tabular Data: Foundations, Challenges, Advances and Future Directions
by: Ren, Weijieying, et al.
Published: (2025)
by: Ren, Weijieying, et al.
Published: (2025)
Advancing Biomedicine with Graph Representation Learning: Recent Progress, Challenges, and Future Directions
by: Li, Fang, et al.
Published: (2023)
by: Li, Fang, et al.
Published: (2023)
Artificial Intelligence Ecosystem for Automating Self-Directed Teaching
by: Gotavade, Tejas Satish
Published: (2024)
by: Gotavade, Tejas Satish
Published: (2024)
Fairness of Explanations in Artificial Intelligence (AI): A Unifying Framework, Axioms, and Future Direction toward Responsible AI
by: Popoola, Gideon, et al.
Published: (2026)
by: Popoola, Gideon, et al.
Published: (2026)
Probabilistic Artificial Intelligence
by: Krause, Andreas, et al.
Published: (2025)
by: Krause, Andreas, et al.
Published: (2025)
Artificial Intelligence for Direct Prediction of Molecular Dynamics Across Chemical Space
by: Ge, Fuchun, et al.
Published: (2025)
by: Ge, Fuchun, et al.
Published: (2025)
Spatio-Temporal Trajectory Foundation Model - Recent Advances and Future Directions
by: Yang, Sean Bin, et al.
Published: (2025)
by: Yang, Sean Bin, et al.
Published: (2025)
Future Research Avenues for Artificial Intelligence in Digital Gaming: An Exploratory Report
by: Dablander, Markus
Published: (2024)
by: Dablander, Markus
Published: (2024)
Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models
by: Yang, Xiao-Wen, et al.
Published: (2025)
by: Yang, Xiao-Wen, et al.
Published: (2025)
Artificial Behavior Intelligence: Technology, Challenges, and Future Directions
by: Jo, Kanghyun, et al.
Published: (2025)
by: Jo, Kanghyun, et al.
Published: (2025)
SpectrumWorld: Artificial Intelligence Foundation for Spectroscopy
by: Yang, Zhuo, et al.
Published: (2025)
by: Yang, Zhuo, et al.
Published: (2025)
Causal Bias Detection in Generative Artificial Intelligence
by: Plecko, Drago
Published: (2026)
by: Plecko, Drago
Published: (2026)
Open-Endedness is Essential for Artificial Superhuman Intelligence
by: Hughes, Edward, et al.
Published: (2024)
by: Hughes, Edward, et al.
Published: (2024)
From Aleatoric to Epistemic: Exploring Uncertainty Quantification Techniques in Artificial Intelligence
by: Wang, Tianyang, et al.
Published: (2025)
by: Wang, Tianyang, et al.
Published: (2025)
A Survey on Context-Aware Multi-Agent Systems: Techniques, Challenges and Future Directions
by: Du, Hung, et al.
Published: (2024)
by: Du, Hung, et al.
Published: (2024)
Multi-modal Machine Learning for Vehicle Rating Predictions Using Image, Text, and Parametric Data
by: Su, Hanqi, et al.
Published: (2023)
by: Su, Hanqi, et al.
Published: (2023)
A New Strategy for Artificial Intelligence: Training Foundation Models Directly on Human Brain Data
by: Donoso, Maël
Published: (2026)
by: Donoso, Maël
Published: (2026)
Holistic Artificial Intelligence in Medicine; improved performance and explainability
by: Petridis, Periklis, et al.
Published: (2025)
by: Petridis, Periklis, et al.
Published: (2025)
Concept-Based Explainable Artificial Intelligence: Metrics and Benchmarks
by: Aysel, Halil Ibrahim, et al.
Published: (2025)
by: Aysel, Halil Ibrahim, et al.
Published: (2025)
Uncertainty Gating for Cost-Aware Explainable Artificial Intelligence
by: Mikriukov, Georgii, et al.
Published: (2026)
by: Mikriukov, Georgii, et al.
Published: (2026)
Comprehensive Overview of Artificial Intelligence Applications in Modern Industries
by: Weng, Yijie, et al.
Published: (2024)
by: Weng, Yijie, et al.
Published: (2024)
Autonomous Vehicles: Evolution of Artificial Intelligence and Learning Algorithms
by: Garikapati, Divya, et al.
Published: (2024)
by: Garikapati, Divya, et al.
Published: (2024)
Procedural Content Generation via Generative Artificial Intelligence
by: Mao, Xinyu, et al.
Published: (2024)
by: Mao, Xinyu, et al.
Published: (2024)
SMGI: A Structural Theory of General Artificial Intelligence
by: Osmani, Aomar
Published: (2026)
by: Osmani, Aomar
Published: (2026)
Evaluation of Seismic Artificial Intelligence with Uncertainty
by: Myren, Samuel, et al.
Published: (2025)
by: Myren, Samuel, et al.
Published: (2025)
When Generative Artificial Intelligence meets Extended Reality: A Systematic Review
by: Ning, Xinyu, et al.
Published: (2025)
by: Ning, Xinyu, et al.
Published: (2025)
ADAF: An Artificial Intelligence Data Assimilation Framework for Weather Forecasting
by: Xiang, Yanfei, et al.
Published: (2024)
by: Xiang, Yanfei, et al.
Published: (2024)
Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning
by: Straka, Matej, et al.
Published: (2025)
by: Straka, Matej, et al.
Published: (2025)
Similar Items
-
Machine Learning Approaches for Diagnostics and Prognostics of Industrial Systems Using Open Source Data from PHM Data Challenges: A Review
by: Su, Hanqi, et al.
Published: (2023) -
A Unified Industrial Large Knowledge Model Framework in Industry 4.0 and Smart Manufacturing
by: Lee, Jay, et al.
Published: (2023) -
Rethinking industrial artificial intelligence: a unified foundation framework
by: Lee, Jay, et al.
Published: (2025) -
Developing and Deploying Industry Standards for Artificial Intelligence in Education (AIED): Challenges, Strategies, and Future Directions
by: Tong, Richard, et al.
Published: (2024) -
2026 Roadmap on Artificial Intelligence and Machine Learning for Smart Manufacturing
by: Lee, Jay, et al.
Published: (2026)