With all the excitement over neural networks and deep-learning ... for Cartesian genetic programming (as their technique is called). The process begins by randomly creating a code containing ...

Deep learning algorithms ... not code for proteins seemed to be implicated in these disorders at higher frequency, which means they may serve as alternative markers. "By identifying genetic ...

Researchers developed an automated system to help programmers increase the efficiency of their deep learning algorithms ... interface for users. In addition, they would like to use it to optimize ...

Gluon fills a gap between powerful deep learning engines with complex code requirements and ... The Gluon interface unifies the training algorithm and the neural network model, the companies ...

However, the grasp of how genetic variation influences ... the international research team trained interpretable deep learning models, a subset of AI algorithms, on a vast dataset of genomic ...

In recent years, Google and Facebook have snapped up so many researchers at the heart of the deep learning movement ... an open marketplace for algorithms---code that companies and developers ...

In agriculture, researchers merge this genomic information with observational data (measuring various plant traits) to identify correlations between genetic ... Deep learning the cis-regulatory ...