Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.
Abstract: Traditional optimization-based techniques for time-synchronized state estimation (SE) often suffer from high online computational burden, limited phasor measurement unit (PMU) coverage, and ...
Abstract: Federated Graph learning (FGL) for networked system data enables collaborative model training without sharing raw data, but it also introduces severe privacy risks. Model inversion attacks ...
Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
Tohoku University and Fujitsu Limited demonstrated an important use case for AI technology in new materials discovery, ...
With the rising technological prowess and greater openness of Chinese models, the world is increasingly turning to the East for efficient and customizable AI, a new report finds.
Welcome! kg-gen helps you extract knowledge graphs from any plain text using AI. It can process both small and large text inputs, and it can also handle messages in a conversation format. Why generate ...
System is a Public Benefit Corporation that is building the System Graph, a quantitative model of the world as one ...
Scalable, high performance knowledge graph memory system with semantic retrieval, contextual recall, and temporal awareness. Provides any LLM client that supports the model context protocol (e.g., ...
A Graph Neural Network Charge Model Targeting Accurate Electrostatic Properties of Organic Molecules
School of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne NE1 7RU, U.K. Kuano, Hauxton House, Mill Scitech Park, Mill Lane, Cambridge, England CB22 5HX, U.K. Department ...
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