Google awards $25 million in global AI impact grants. Google today awarded $25 million in grants to a range of organizations to help them apply machine learning to fight some of the world's biggest challenges.
There is a limit of recipients from the Fire Department of New York City, which can shape public policy to track air quality with a sensor associated with mopeds in Uganda.
This program is also an extension of Google's AI for Social Good Program, which provides a forecast of floods to communities in India and is researching how to provide speech recognition for people with disabilities.
Since the announcement of the competition from 119 countries around the world in October, more than 2,600 applications were received, Google.org President Jacqueline Fuller told VentureBit in a phone interview.
The news was announced today at the Google I / O Developer Conference by CEO Jeff Dean, CEO of beautiful Pichai and AI.
Dean said, "We want to empower everyone to use AI to implement problems appearing in our communities."
Each recipient organization will receive approximately $ 500,000 to $ 2 million
As a part of the challenge, Google AI staff will be entrusted with consulting and awarding advice to the award winners, along with their laboratories around the world, which focuses on privacy and security issues. 40 percent of Google.org's winners are also part of the initiative, who have no previous experience in machine learning.
The winners of the 12 countries around the world include:
- In the Trevor Project crisis in the United States LGBTQ talks with youth and will implement natural language processing and emotional analysis in an attempt to understand the suicide risk level of those who call or read.
- Wadhwani AI from India will use AI in an effort to reduce the use of pesticides, which is a major source of food waste.
- The New York University and the Fire Department of New York (FDNY) will form a team to reduce response time for 1.7 million calls.
- The American University of Beirut will use machine learning in an attempt to help farmers save water used for crop irrigation and food production.
- Collegió Mayer de Nostra Sanora del Rosario in Colombia will use computer vision and satellite imagery to detect illegal mining operations known to pollute local drinking water.
- Crisis text line, a service that uses natural language understanding to predict a person's sadness or sadness, to reduce waiting time and to serve users faster, the Global AI Impact Challenge Funding Will use.
- La Foundation Medecins Sans Frontieres in France wants to create a smartphone app that non-technical employees can use to reduce the cost of treatment of certain diseases and to analyze anti-microbial images in an attempt to use antibiotics. .
- Human Rights Information and Documentation System (HURIDOCS) in Switzerland will find ways to create a connection between machine learning laws, testimony of witnesses and other documents.
- In the United States the rainforest connection will use sensor and audio analysis to detect the sound of illegal logging.
- Penn State University of the United States will use intensive learning to try to better predict landslide.
Fuller said that the inaugural Global AI Impact Challenge follows a model, which has been prepared to complete more than a dozen similar projects.
The applicants were chosen not only based on the potential impact of their proposal but on potentially viable, based on Google AI principles alignment and scale capacity.
"What we have seen with our impact challenge model is that you will usually have one set of them, which does not pan their hypothesis, or it does not achieve what they thought was to achieve it You have a group that is doing really well, but it seems that the solution would be more suitable for them, but then you will have many such people who will actually pull it out of the park. . And we are fully open and ready and are looking for doubling up on them and make sure to help if there's scalability capabilities that we help them to do so. "
Google also explored ways to spread the code of promising projects through open source sharing of code, Fuller said.