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 ...
In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...
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 ...
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 ...
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
Cancer is the second leading cause of death worldwide. Since age is one of the risk factors for the development of cancer, ...
The key idea behind our framework is that life produces molecules with purpose, while nonliving chemistry does not. Cells ...
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, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback