Express Computer
Home  »  Big Data / Analytics  »  New Google fund to address missing data for key research

New Google fund to address missing data for key research

0 55
Read Article

Google has launched a new Lacuna Fund which is the worlds first collaborative nonprofit effort to directly address the missing labeled data in the field of languages to health and agriculture and more.

There is currently a lack of relevant, labeled data to represent and address the challenges that face much of the world’s population.

“To help close this gap, is making a $2.5 million grant alongside The Rockefeller Foundation, Canada’s International Development Resource Center (IDRC) and Germany’s GiZ FAIR Forward to launch Lacuna Fund,” said Daphne Luong, Director, Google AI.

The fund aims to unlock the power of machine learning by providing data scientists, researchers, and social entrepreneurs in low- and middle-income communities around the world with resources to produce labeled datasets that address urgent problems, Google said in a statement this week.

Machine learning has shown enormous promise for social good, whether in helping respond to global health pandemics or reach citizens before natural disasters hit.

But even as machine learning technology becomes increasingly accessible, social innovators still face significant barriers in their efforts to use this technology to unlock new solutions.

Labeled data is a particular type of data that is useful in generating machine learning models.

Google said that the fund will provide resources and support to produce new labeled datasets, as well as augment or update existing ones to be more representative, relevant and sustainable.

To create a labeled dataset, example data is systematically “tagged” by knowledgeable humans with one or more concepts or entities each one represents.

For example, a researcher might label short videos of insects with their type; images of fungi with whether or not they are harmful to plants around them; or passages of Swahili text with the parts of speech that each word represents.

In turn, these datasets could enable biologists to track insect migration; farmers to accurately identify threats to their crops; and Swahili speakers to use an automated text messaging service to get vital health information.

“Thanks in part to the rise of cloud computing, in particular services like Cloud AutoML and libraries like TensorFlow, AI is increasingly able to help address society’s most pressing issues,” said Luong.

If you have an interesting article / experience / case study to share, please get in touch with us at [email protected]


Get real time updates directly on you device, subscribe now.

Subscribe to our newsletter
Sign up here to get the latest news, updates delivered directly to your inbox.
You can unsubscribe at any time

Leave A Reply

Your email address will not be published.

Virtual Conference

Leading the future for the connected world

The ability to adapt to new technologies while supporting critical systems requires a smart network infrastructure.
Know how to deliver a seamless customer experience from cable to cloud.
Register for Free