Saved in:
| Main Authors: | Wang, Ruihang, Zhang, Qingang, Wen, Yonggang, Kennedy, Stuart |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.19414 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DCoPilot: Generative AI-Empowered Policy Adaptation for Dynamic Data Center Operations
by: Li, Minghao, et al.
Published: (2026)
by: Li, Minghao, et al.
Published: (2026)
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins
by: Zhang, Qingang, et al.
Published: (2026)
by: Zhang, Qingang, et al.
Published: (2026)
Fusion Intelligence for Digital Twinning AI Data Centers: A Synergistic GenAI-PhyAI Approach
by: Wang, Ruihang, et al.
Published: (2025)
by: Wang, Ruihang, et al.
Published: (2025)
Phythesis: Physics-Guided Evolutionary Scene Synthesis for Energy-Efficient Data Center Design via LLMs
by: LI, Minghao, et al.
Published: (2025)
by: LI, Minghao, et al.
Published: (2025)
Toward Carbon-Neutral Human AI: Rethinking Data, Computation, and Learning Paradigms for Sustainable Intelligence
by: Santosh, KC, et al.
Published: (2025)
by: Santosh, KC, et al.
Published: (2025)
Advancing Generative Artificial Intelligence and Large Language Models for Demand Side Management with Internet of Electric Vehicles
by: Zhang, Hanwen, et al.
Published: (2025)
by: Zhang, Hanwen, et al.
Published: (2025)
Outlook Towards Deployable Continual Learning for Particle Accelerators
by: Rajput, Kishansingh, et al.
Published: (2025)
by: Rajput, Kishansingh, et al.
Published: (2025)
Driving Intelligent IoT Monitoring and Control through Cloud Computing and Machine Learning
by: Li, Hanzhe, et al.
Published: (2024)
by: Li, Hanzhe, et al.
Published: (2024)
SustainDC: Benchmarking for Sustainable Data Center Control
by: Naug, Avisek, et al.
Published: (2024)
by: Naug, Avisek, et al.
Published: (2024)
Knowledge-Aware Modeling with Frequency Adaptive Learning for Battery Health Prognostics
by: Pamshetti, Vijay Babu, et al.
Published: (2025)
by: Pamshetti, Vijay Babu, et al.
Published: (2025)
Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation
by: Xing, Eliot, et al.
Published: (2024)
by: Xing, Eliot, et al.
Published: (2024)
Machine Learning and Quantum Intelligence for Health Data Scenarios
by: Naguleswaran, Sanjeev
Published: (2024)
by: Naguleswaran, Sanjeev
Published: (2024)
Transforming Future Data Center Operations and Management via Physical AI
by: Cao, Zhiwei, et al.
Published: (2025)
by: Cao, Zhiwei, et al.
Published: (2025)
Towards Modeling Data Quality and Machine Learning Model Performance
by: Anjum, Usman, et al.
Published: (2024)
by: Anjum, Usman, et al.
Published: (2024)
Green Energy Management for Sustainable Data Centers Using Deep Reinforcement Learning
by: Bahi, Abderaouf, et al.
Published: (2025)
by: Bahi, Abderaouf, 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)
FedRG: Unleashing the Representation Geometry for Federated Learning with Noisy Clients
by: Wen, Tian, et al.
Published: (2026)
by: Wen, Tian, et al.
Published: (2026)
Enhancing Machine Learning Performance through Intelligent Data Quality Assessment: An Unsupervised Data-centric Framework
by: Rahal, Manal, et al.
Published: (2025)
by: Rahal, Manal, et al.
Published: (2025)
Autonomous Vehicles: Evolution of Artificial Intelligence and Learning Algorithms
by: Garikapati, Divya, et al.
Published: (2024)
by: Garikapati, Divya, et al.
Published: (2024)
Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment
by: Hwang, Uiwon, et al.
Published: (2026)
by: Hwang, Uiwon, et al.
Published: (2026)
Rethinking Key-Value Cache Compression Techniques for Large Language Model Serving
by: Gao, Wei, et al.
Published: (2025)
by: Gao, Wei, et al.
Published: (2025)
Kinematic Detection of Anomalies in Human Trajectory Data
by: Kennedy, Lance, et al.
Published: (2024)
by: Kennedy, Lance, et al.
Published: (2024)
Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes
by: Toups, Connor, et al.
Published: (2023)
by: Toups, Connor, et al.
Published: (2023)
Integrating Biological and Machine Intelligence: Attention Mechanisms in Brain-Computer Interfaces
by: Wang, Jiyuan, et al.
Published: (2025)
by: Wang, Jiyuan, et al.
Published: (2025)
Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective
by: Xiong, Haoyi, et al.
Published: (2024)
by: Xiong, Haoyi, et al.
Published: (2024)
Leveraging Hybrid Intelligence Towards Sustainable and Energy-Efficient Machine Learning
by: Geissler, Daniel, et al.
Published: (2024)
by: Geissler, Daniel, et al.
Published: (2024)
Intelligent Resource Allocation Optimization for Cloud Computing via Machine Learning
by: Wang, Yuqing, et al.
Published: (2025)
by: Wang, Yuqing, et al.
Published: (2025)
Towards Transparent and Accurate Diabetes Prediction Using Machine Learning and Explainable Artificial Intelligence
by: Khokhar, Pir Bakhsh, et al.
Published: (2025)
by: Khokhar, Pir Bakhsh, et al.
Published: (2025)
Efficient Deep Learning Infrastructures for Embedded Computing Systems: A Comprehensive Survey and Future Envision
by: Luo, Xiangzhong, et al.
Published: (2024)
by: Luo, Xiangzhong, et al.
Published: (2024)
Critical Sampling for Robust Evolution Operator Learning of Unknown Dynamical Systems
by: Zhang, Ce, et al.
Published: (2023)
by: Zhang, Ce, et al.
Published: (2023)
Joint Input and Output Coordination for Class-Incremental Learning
by: Wang, Shuai, et al.
Published: (2024)
by: Wang, Shuai, et al.
Published: (2024)
Causify DataFlow: A Framework For High-performance Machine Learning Stream Computing
by: Saggese, Giacinto Paolo, et al.
Published: (2025)
by: Saggese, Giacinto Paolo, et al.
Published: (2025)
Transformers as Neural Operators for Solutions of Differential Equations with Finite Regularity
by: Shih, Benjamin, et al.
Published: (2024)
by: Shih, Benjamin, et al.
Published: (2024)
Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning
by: Rabanser, Stephan
Published: (2025)
by: Rabanser, Stephan
Published: (2025)
Spectral-inspired Operator Learning with Limited Data and Unknown Physics
by: Wan, Han, et al.
Published: (2025)
by: Wan, Han, et al.
Published: (2025)
Intelligent Chemical Purification Technique Based on Machine Learning
by: Wu, Wenchao, et al.
Published: (2024)
by: Wu, Wenchao, 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)
Full Scaling Automation for Sustainable Development of Green Data Centers
by: Wang, Shiyu, et al.
Published: (2023)
by: Wang, Shiyu, et al.
Published: (2023)
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)
Machine Unlearning: Solutions and Challenges
by: Xu, Jie, et al.
Published: (2023)
by: Xu, Jie, et al.
Published: (2023)
Similar Items
-
DCoPilot: Generative AI-Empowered Policy Adaptation for Dynamic Data Center Operations
by: Li, Minghao, et al.
Published: (2026) -
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins
by: Zhang, Qingang, et al.
Published: (2026) -
Fusion Intelligence for Digital Twinning AI Data Centers: A Synergistic GenAI-PhyAI Approach
by: Wang, Ruihang, et al.
Published: (2025) -
Phythesis: Physics-Guided Evolutionary Scene Synthesis for Energy-Efficient Data Center Design via LLMs
by: LI, Minghao, et al.
Published: (2025) -
Toward Carbon-Neutral Human AI: Rethinking Data, Computation, and Learning Paradigms for Sustainable Intelligence
by: Santosh, KC, et al.
Published: (2025)