Google will use the TensorFlow Hub to study biodiversity

In collaboration with the Global Biodiversity Information Facility (GBIF), iNaturalist and Visipedia, Google is developing the AI Workflow, a workflow that implements the artificial intelligence of TensorFlow Hub to analyze genetic differences between species.

The term biodiversity, known as biodiversity, refers to the diversity of ecosystems, as well as genetic differences between species understood as living beings, including different levels of biological organization in plants, animals, fungi, microorganisms. In this sense, Google is committed to borrowing its library of development based on artificial intelligence TensorFlow to analyze natural biodiversity.

Google researchers point out that this new workflow with AI through Tensor FLow Hub, will allow new data, a collaboration between teams, the integration of appropriate terms or standardized according to the business model. This will ensure that data management is optimal and efficient.

According to the researchers, the study includes a package of data per GBIF to be examined to ensure that it meets the requirements set by the competent authorities, such as licences and quotes.

While models created and published by Google and Visipedia are output via a digital object identifier and linked through the DOI citation table of the International Organization for Standardization.

The latter happens thanks to Google’s machine learning library, TensorFlow Hub, where it will store its automatic learning models.