Analogue engineering still relies heavily on manual intervention, but that is changing with the growing use of AI/ML.

Mirofish AI is blowing up with its swarm-based predictions. Is it a breakthrough or just AI sounding smart again?

Overview NumPy and Pandas form the core of data science workflows. Matplotlib and Seaborn allow users to turn raw data into clear and simple charts, making it e ...

The Graph offers access to competitive and cost-efficient decentralized data sets. The network boasts a 99.99% uptime and 24/7 availability. Central to The Graph’s operations are subgraphs, APIs that ...

ABSTRACT: Stroke remains a leading cause of mortality and disability worldwide, requiring timely therapeutic decisions. Existing content-based drug recommendation approaches often rely on static ...

Comorbidity—the co-occurrence of multiple diseases in a patient—complicates diagnosis, treatment, and prognosis. Understanding how diseases connect at a molecular level is crucial, especially in aging ...

Abstract: The graph neural networks (GNNs) have drawn much attention for predicting the remaining useful life (RUL) due to their excellent performance in processing correlation relationship among data ...

Heterogeneous GAT with temporal attention for drug-drug interaction prediction. Multi-task learning (interaction + metabolite pathway + temporal dynamics) on Tox21 molecular data. 99.9% interaction ...

Abstract: This paper proposes a spatio-temporal graph convolutional network incorporating knowledge graph embeddings for hydrological time series prediction. A knowledge graph is constructed to ...

According to God of Prompt, Graph RAG introduces hierarchical structures in enterprise AI search by organizing documents into tiers such as company policies, department rules, team guidelines, and ...