Machine learning is a powerful tool in computational biology, enabling the analysis of a wide range of biomedical data such as genomic sequences and biological imaging. But when researchers use ...
A new computational machine learning method developed by computational biologists can help researchers discover spatial patterns of gene expression in diseased tissue. In disease research, it's ...
In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
Large language models are powering a new generation of AI agents that could transform computational chemistry from a ...
A joint research team from NIMS, Tokyo University of Science, and Kobe University has developed a new artificial intelligence ...
The key idea behind our framework is that life produces molecules with purpose, while nonliving chemistry does not. Cells ...
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 ...
Carnegie Mellon University will introduce new academic programs and resources for students and researchers to blend traditional humanistic inquiry with computational methods like computer vision, ...
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