Abstract: A central theme in learning from image data is to develop appropriate representations for the specific task at hand. Thus, a practical challenge is to determine what features are appropriate ...

Abstract: Aspect-Based Multimodal Sentiment Analysis (ABMSA) aims to infer the users’ sentiment polarities over individual aspects using visual, textual, and acoustic signals. Although psychological ...

Modern air defense confrontations demand rapid, precise task assignments in environments where threats evolve within seconds.

Class-incremental learning (CIL) seeks to enable a model to sequentially learn new classes while retaining knowledge of previously learned ones. Balancing flexibility and stability remains a ...

AI-Enhanced Problem-Based Learning in Pathology Technology: An OBE-Driven Triadic Model of Clinical Problem, AI Validation, ...

Heeva Alavi, an Iranian-American, writes about her family’s mixed emotions about the World Cup, while Aariv Shah reflects on the SpaceX I.P.O. By The Learning Network We invited teenagers to create an ...

Government agencies face increasingly sophisticated security challenges in a world driven by digital transformation.

Robots are increasingly expected to operate beyond structured laboratories, where they must interpret incomplete sensory ...

At the core of Industry 4.0, the smart factory integrates automation, mass customization, and self-organization into a highly ...

Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

WHEN A LARGE language model (LLM) gives a cardiologist a poor answer, it is not always the model that is the only problem. More often ...