New Google fund to address missing data for key research

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

San Francisco: 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.

READ:  Samsung launches new consumer SSD with upgraded performance

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 would 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.

READ:  Bitcoin falls below $30K, worst weekly loss in months

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.

Subscribe us on The Siasat Daily - Google News
Back to top button