Model for predicting molecular crystal properties is readily adaptable to specific tasks, even with limited data ...

Graph representation learning has been extensively studied in recent years. It has been proven effective in network analysis and mining tasks such as node classification and link prediction. Learning ...

Temporal Knowledge Graph (TKG) representation learning embeds entities and event types into a continuous low-dimensional vector space by integrating the temporal information, which is essential for ...

Artificial intelligence and machine learning are transforming acute respiratory distress syndrome (ARDS) management, enabling ...

The Center for Teaching and Learning hosted a regional Educational Technology Collaborative event focusing on "Exploring how AVoverIP technology can enhance active learning environments." The event, ...

Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical changes and corrosion. The framework enables more accurate, data-driven ...

The Toyota logo has a lot more meaning than you might think, and the revelation has sparked debate online as to whether it actually represents every letter in the brand's name ...

MAGIC leverages masked graph representation learning to model benign system entities and behaviors, performing efficient deep feature extraction and structure abstraction on provenance graphs.

This guide covers all the logo design rules, best practices, tips, examples, and more to equip you with the knowledge for crafting brilliant logos.