PromptSE uses structured LLM prompting to generate pharmacologically relevant side-effect representations, then feeds them ...

The "Digital Twin" concept, a virtual, high-fidelity representation of a physical system, is transforming engineering and is now gaining significant ...

Numerical simulations in physics often require estimating a multitude of parameters, making the process computationally ...

Understanding how the human brain represents the information picked up by the senses is a longstanding objective of neuroscience and psychology studies. Most past studies focusing on the visual cortex ...

Computational models and simulations have had an important role in engineering analysis since as far back as the 1960s. It is widely recognized that the use of modeling and simulation tools can make ...

The rapid advancement of high-throughput sequencing and multi-omics technologies has transformed genetics into an inherently data-intensive discipline. In ...

A new framework allows AI models that have already been trained to learn new tasks without sacrificing performance when performing old tasks. The framework, called CHEEM, also improves an AI model's ...