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

Computational point-of-care sensors can significantly improve access to diagnostics by enabling rapid patient testing outside ...

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 ...

The new model developed by Flatiron Institute researchers proposes that biological neurons have more control over their surroundings than previously thought, something that could be replicated in the ...

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

Theory, computation, and simulation are foundational to modern energy research. Theoretical understanding reveals why materials and systems behave as they do, predicting performance before experiments ...

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

Numerical simulations in physics often require estimating a multitude of parameters, making the process computationally expensive and complex. Researchers at University of Tsukuba have introduced a ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...