AI toolkit turns microscopy images into multi-feature microstructure datasets

A research team from The Hong Kong University of Science and Technology (HKUST) has developed GrainBot, an AI-enabled toolkit ...

How to build a context-first AI search optimization strategy

AI-driven discovery depends on semantic depth and retrievable structure. Align language, taxonomy, and schema for modern search visibility.
EE World Online

The difference between physical AI and machine learning in power electronics

Physical artificial intelligence (PAI) is the application of AI and machine learning (ML) algorithms to enable autonomous ...
Frontiers

AI-Integrated Multi-Omics for Neurodegeneration: Mechanistic Insights to Clinical Innovation

The field of neurodegeneration is witnessing rapid advancements thanks to the integration of multi-omics technologies alongside sophisticated artificial ...
IEEE

Learning in Imperfect Environments: Multi-Label Classification of Non-Functional Requirements under Long-Tailed Distribution

Abstract: Automatically identifying and classifying nonfunctional requirements (NFRs) such as reliability and security from software requirements is one of the most active research topics in the field ...
IEEE

Incomplete Multi-View Multi-Label Learning via Disentangled Representation and Label Semantic Embedding

Abstract: In incomplete multi-view multi-label learning scenarios, it is crucial to use the incomplete multi-view data to extract consistent and specific representations from different data sources ...