Flood, wildfire alerts, healthcare and more: How Google is using AI for people’s benefits – Times of India
Artificial Intelligence (AI) is something that Google has been betting big for a while now. From better translations to enhancements in software, AI is at the heart of a lot that Google does. The Sundar Pichai-led company has detailed three initiatives where AI is being used for the benefits of people.
Using AI to address climate change challenges
In a blog post, Jeff Dean, senior vice president, Google Research aid that the company believes that AI has great potential to address the effects of climate change, including helping people adapt to new challenges. In this regard, Google has been using satellite imagery to train AI models to identify and track wildfires in real time, helping predict how they will evolve and spread. “We’ve launched this wildfire tracking system in the U.S., Canada, Mexico, and are rolling out in parts of Australia, and since July we’ve covered more than 30 big wildfire events in the U.S. and Canada, helping inform our users and firefighting teams with over 7 million views in Google Search and Maps,” says Dean.
Further, Google has been using AI to forecast floods and Dean says that Google sent 115 million flood alert notifications to 23 million people over Google Search and Maps, helping save countless lives. Google has now expanded its flood alert coverage to more countries in South America (Brazil and Colombia), Sub-Saharan Africa (Burkina Faso, Cameroon, Chad, Democratic Republic of Congo, Ivory Coast, Ghana, Guinea, Malawi, Nigeria, Sierra Leone, Angola, South Sudan, Namibia, Liberia, and South Africa), and South Asia (Sri Lanka). Dean explains that Google used an AI technique called transfer learning to make it work in areas where there’s less data available.
AI model for a thousand spoken languages
Google has also announced the 1,000 Languages Initiative, an ambitious commitment to build an AI model that will support the 1,000 most spoken languages, bringing greater inclusion to billions of people in marginalised communities all around the world. Dean believes that this is a long-term effort but Google is “already making meaningful strides here and see the path clearly.” He further said that Google’s most advanced language models are multimodal – “meaning they’re capable of unlocking information across these many different formats.” Google has developed a Universal Speech Model — or USM — that’s trained on over 400 languages, making it the largest language coverage seen in a speech model to date, says Dean. In South Asia, Google is working with local governments, NGOs, and academic institutions to eventually collect representative audio samples from across all the regions’ dialects and languages.
AI in healthcare
Dean says that Google is researching ways AI can help read and analyse outputs from low-cost ultrasound devices, giving parents the information they need to identify issues earlier in a pregnancy. “We also plan to continue to partner with caregivers and public health agencies to expand access to diabetic retinopathy screening through our Automated Retinal Disease Assessment tool (ARDA),” he adds.
Google says that through ARDA, it has successfully screened more than 150,000 patients in countries like India, Thailand, Germany, the United States, and the United Kingdom across deployed use and prospective studies — more than half of those in 2022 alone. Further, Google is exploring how AI can help your phone detect respiratory and heart rates.
Using AI to address climate change challenges
In a blog post, Jeff Dean, senior vice president, Google Research aid that the company believes that AI has great potential to address the effects of climate change, including helping people adapt to new challenges. In this regard, Google has been using satellite imagery to train AI models to identify and track wildfires in real time, helping predict how they will evolve and spread. “We’ve launched this wildfire tracking system in the U.S., Canada, Mexico, and are rolling out in parts of Australia, and since July we’ve covered more than 30 big wildfire events in the U.S. and Canada, helping inform our users and firefighting teams with over 7 million views in Google Search and Maps,” says Dean.
Further, Google has been using AI to forecast floods and Dean says that Google sent 115 million flood alert notifications to 23 million people over Google Search and Maps, helping save countless lives. Google has now expanded its flood alert coverage to more countries in South America (Brazil and Colombia), Sub-Saharan Africa (Burkina Faso, Cameroon, Chad, Democratic Republic of Congo, Ivory Coast, Ghana, Guinea, Malawi, Nigeria, Sierra Leone, Angola, South Sudan, Namibia, Liberia, and South Africa), and South Asia (Sri Lanka). Dean explains that Google used an AI technique called transfer learning to make it work in areas where there’s less data available.
AI model for a thousand spoken languages
Google has also announced the 1,000 Languages Initiative, an ambitious commitment to build an AI model that will support the 1,000 most spoken languages, bringing greater inclusion to billions of people in marginalised communities all around the world. Dean believes that this is a long-term effort but Google is “already making meaningful strides here and see the path clearly.” He further said that Google’s most advanced language models are multimodal – “meaning they’re capable of unlocking information across these many different formats.” Google has developed a Universal Speech Model — or USM — that’s trained on over 400 languages, making it the largest language coverage seen in a speech model to date, says Dean. In South Asia, Google is working with local governments, NGOs, and academic institutions to eventually collect representative audio samples from across all the regions’ dialects and languages.
AI in healthcare
Dean says that Google is researching ways AI can help read and analyse outputs from low-cost ultrasound devices, giving parents the information they need to identify issues earlier in a pregnancy. “We also plan to continue to partner with caregivers and public health agencies to expand access to diabetic retinopathy screening through our Automated Retinal Disease Assessment tool (ARDA),” he adds.
Google says that through ARDA, it has successfully screened more than 150,000 patients in countries like India, Thailand, Germany, the United States, and the United Kingdom across deployed use and prospective studies — more than half of those in 2022 alone. Further, Google is exploring how AI can help your phone detect respiratory and heart rates.
For all the latest Technology News Click Here
For the latest news and updates, follow us on Google News.
Denial of responsibility! TechNewsBoy.com is an automatic aggregator around the global media. All the content are available free on Internet. We have just arranged it in one platform for educational purpose only. In each content, the hyperlink to the primary source is specified. All trademarks belong to their rightful owners, all materials to their authors. If you are the owner of the content and do not want us to publish your materials on our website, please contact us by email – [email protected]. The content will be deleted within 24 hours.
