Trader AI Inc. is a AI-driven cryptocurrency trading solutions. Founded in 2023 by a team of quantitative analysts, data scientists, and seasoned software engineers, Trader AI’s mission is to ...

In order to produce effective targeted therapies for cancer, scientists need to isolate the genetic and phenotypic ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Fake news articles contained significantly higher levels of negative sentiment, including emotions such as fear, anger, sadness, and disgust. In contrast, real news articles were more likely to elicit ...

Cracking the code to becoming an AI genius isn't about shortcuts—it’s a marathon of mathematical rigor, deep learning mastery, and relentless research. From original papers to scalable engineering, ...

Graph convolutional neural networks (GCNs) have demonstrated effectiveness in processing graph structure. Due to the diversity and complexity of real-world graph data, heterogeneous GCN have attracted ...

The Department of Defense (DoD) faces two crises in microelectronics: lack of American manufacturing capacity and hardware limitations for data-centric AI applications.

To advance the DoD’s vision of creating viable, trusted, and extensible AI systems, the SEI leads the creation of a professional AI Engineering discipline to develop AI systems that are scalable, ...

The node embedding vectors of two different graphs were learned separately. Specifically, the upper part of the encoder was learned by the node features of the graph convolutional neural network layer ...

GNNs extend the foundational ideas of Convolutional Neural Networks (CNNs) to graph data. While CNNs capture spatial locality in grid-like data (for example, images) through convolutional kernels, ...