The rising prevalence of mental health disorders has made them a major public health challenge. These conditions exhibit complex pathological mechanisms and ...
The latest generation of artificial intelligence models is sharper and smoother, producing polished text with fewer errors ...
In recent years, the field of robotics has undergone significant transformation, driven increasingly by advances in brain-inspired and neurally grounded ...
Abstract: We propose a novel multimodal topic modeling framework to extract and explain latent themes in extensive collections of digitized artworks. Our approach leverages CLIP's contrastive ...
Epsilon is a family of Java-based scripting languages for automating common model-based software engineering tasks, such as code generation, model-to-model transformation and model validation, that ...
While many low-income countries (LICs) have built good momentum since 2000, they still face numerous macroeconomic challenges and vulnerabilities. For instance, LICs are currently facing a crisis like ...
Abstract: The rapid evolution of technology necessitates advanced methods to assess and understand emerging innovations. As formal documents record inventions, patents provide rich data for analyzing ...
Semidefinite Programming with Homotopy Conditional Gradient Method (HCGM) and Vu-Condat methods for solving two problems: Fashion-MNIST classification using k-means clustering and geometric embedding ...