Governments and humanitarian organizations need reliable data on building and infrastructure changes over time to manage urbanization, allocate resources, and respond to crises. However, many regions ...

Building massive neural network models that replicate the activity of the brain has long been a cornerstone of computational neuroscience's efforts to understand the complexities of brain function.

Federated learning (FL) is a powerful ML paradigm that enables multiple data owners to train models without centralizing their data collaboratively. This approach is particularly valuable in domains ...

Artificial Intelligence (AI) safety has become an increasingly crucial area of research, particularly as large language models (LLMs) are employed in various applications. These models, designed to ...

Using advanced artificial intelligence models, video generation involves creating moving images from textual descriptions or static images. This area of research seeks to produce high-quality, ...

Machine Learning in Membrane Science:ML significantly transforms natural sciences, particularly cheminformatics and materials science, including membrane technology. This review focuses on current ML ...

Artificial intelligence has significantly enhanced complex reasoning tasks, particularly in specialized domains such as mathematics. Large Language Models (LLMs) have gained attention for their ...

Artificial intelligence has significantly enhanced complex reasoning tasks, particularly in specialized domains such as mathematics. Large Language Models (LLMs) have gained attention for their ...