Google’s Illumina platform for image recognition has long been touted as the future of artificial intelligence and the development of high-performance computing.
In recent years, however, the technology has also been plagued by a number of privacy concerns, particularly with regard to how it collects information on users and the data it stores on its users.
As part of a partnership with The National Science Foundation, Google is now introducing an initiative to address some of those concerns by offering data about the use of its Illumina-powered machine vision software to researchers in the form of an API.
Illumina’s AI-powered camera platform has already enabled an array of sensors for many of the things we use in everyday life, such as CCTV, security cameras, security badges, and even medical devices.
As a result, the company has been able to create a platform for researchers to create new kinds of artificial-intelligence-powered devices.
As a result of this partnership, Google has announced that the Illumina Platform will soon allow researchers to collect data on how often people look at certain images, as well as their location and the type of imagery they use.
The API allows researchers to extract information about the usage of specific images, such data that could then be used to understand how people interact with their own images, and it’s the first step in what the company hopes will be a broad, automated collection of data from the devices on which we use them.
However, not all of this information will be made available to the public.
“We’ve also created an API for users to create their own datasets of data on images that are collected by their devices,” Google wrote in a blog post announcing the new partnership.
These datasets will be publicly available and available to researchers, who can then use the data to build machine learning models that could be used in future applications.
Currently, Google’s platform is used to train its image recognition software, which is how it makes sense to collect images from images that have been captured by its own cameras.
This data, however is not always readily available to users, so researchers can also make use of the Illuminas API to access the data.
In a blog blogpost, Google said that the new API will allow researchers “to collect and share datasets, as needed, to better understand how humans use their devices.”
Google says that researchers will be able to make their own custom datasets of image data, which can then be linked to other datasets from other researchers to improve their understanding of human usage.
Google has also said that it will continue to work with the researchers it works with to build their own data sets, and that researchers can share their datasets with the public through a public API.
“The new API also provides a mechanism to make use in machine learning research of data sets already collected by the Illuminate platform, so that researchers who want to study human behavior can leverage the Illumine platform for their own experiments,” Google writes.
This article has been updated to include additional details about Google’s partnership with Illumina and the API.