Google has launched a new program for researchers keen to utilize the Google Cloud Platform in their studies. On Thursday, the tech giant said that academic research can become quicker, more efficient, cheaper, and more secure through the use of cloud technologies, and Google wants to become a part of the latest discoveries. In a blog post, the company said the new scheme, called Google Cloud Platform (GCP) research credits, will allow researches worldwide to take advantage of data storage, analytics, and machine-learning capabilities in the cloud. Researchers are already taking advantage of the Google Cloud Platform in their research. A team from the Massachusetts Institute of Technology (MIT) is using GCP for mathematical research, while others from the Lamont-Doherty Earth Observatory at Columbia University developed an open-source platform for managing climate science data sets through GCP.
Earlier this month, the US National Science Foundation (NSF) announced a new collaboration with three major cloud vendors to provide computing credits for academic research. Amazon Web Services (AWS), Google Cloud Platform (GCP) and Microsoft Azure each committed up to $3 million over three years in computing time on their platforms for academic research as part of the new NSF initiative, making some of the world's most powerful "big data" platforms far more readily available to power the next generation of research.
We are excited to announce Google Cloud Platform Education Grants for computer science faculty and students. Starting today, faculty in the United States who teach courses in computer science or related subjects can apply for free credits for students to use across the full complement of Google Cloud Platform tools, without having to submit a credit card. These credits can be used anytime during the 2016-17 academic year. Consider the work of Duke University undergrad Brittany Wenger. After watching several women in her family suffer from breast cancer, Brittany used her knowledge of artificial intelligence to create Cloud4Cancer, an artificial neural network built on top of Google App Engine.