Knowledge Graph Framework Secures Large Language Models in Smart Grids
A knowledge-grounded security assessment framework improves risk quantification and cross-domain access verification for large language models in smart-grid operations.
A knowledge-grounded security assessment framework improves risk quantification and cross-domain access verification for large language models in smart-grid operations.
A UT Dallas-led NSF-funded project is developing quantum-ready, AI-enabled security tools for next-generation cellular networks.
Every day, an enormous share of the world's digital life flows into cloud data centers. Documents, medical records, business transactions, ...
Industrial control systems run the machinery of modern civilization—power grids, water treatment plants, chemical refineries, and shipping logistics—yet many of ...
Federated learning has become one of the most actively studied paradigms for collaborative machine learning because it allows model training ...
A new study from researchers at Vellore Institute of Technology introduces AIBA-EHR, a framework that couples reinforcement learning with temporal ...
Unmanned aerial vehicles have become one of the fastest-growing platforms in modern wireless networks, relaying broadband traffic, extending coverage into ...
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© 2025 Scienmag - Science Magazine