The mission of Google’s first AI research centre, opened in 2018 in Africa is to push the boundaries of AI. All while solving pressing problems affecting millions of people both locally and globally. For instance, mapping buildings in remote locations to provide better electricity. All around Africa, Google is working with AI in different ways and here are six AI projects you can look out for.
6 Ways Google is Working with AI in Africa
Mapping buildings in Accra
Even with satellite imagery, it can be difficult to map buildings in remote locations. When these buildings go unmapped, it can make things like planning infrastructure difficult. The Open Buildings dataset project combines AI with satellite imagery to pinpoint the location of buildings. That helps governments and nonprofit organisations understand the needs of residents and offer assistance. In Uganda, for example, the nonprofit Sunbird AI is using the dataset. They are working with the Ministry of Energy in Lamwo district to study villages’ electrification needs, and plan potential solutions. In addition to various countries in Africa, the dataset now covers 16 countries in Southeast Asia, including Bangladesh and Thailand.
The United Nations has reported that half of the world’s least-developed countries lack adequate early warning systems for disasters, including floods. In West and Central Africa specifically, where flooding can be severe, early warning systems could enable better preparation and potential evacuation. Lifesaving technology, like the Flood Forecasting Initiative, can help residents stay safe and give governments time to prepare. Google is using AI models to predict when and where riverine floods will occur in 80 countries worldwide, including 23 in Africa.
Locust infestations can have a devastating effect on food crops. Through collaborations with AI- product focused company InstaDeep and the Food and Agriculture Organization (FAO) of the United Nations, our team at the Google AI centre in Ghana is helping to better detect locust outbreaks and enable farmers to implement control measures. The AI centre team is working on building a model that forecasts locust breeding grounds. They are using historical data from the FAO and environmental variables like rainfall and temperature.
Improving maternal health outcomes with ultrasound
Ultrasounds can be crucial for identifying potential complications during pregnancy. In recent years, sensor technology has evolved to make ultrasound devices significantly more portable and affordable. Globally, we have been working on building AI models that can read ultrasound images and provide important information to healthcare workers. In Kenya, for instance, Google is partnering with Jacaranda Health to help improve our ultrasound AI technology. Their focus is on using handheld ultrasound devices that don’t need to be attached to larger machines. This can help people who aren’t trained to operate traditional ultrasound machines to acquire and interpret ultrasound images and triage high-risk patients. All by simply sweeping the handheld probe across the mother’s belly.
Helping people with non-standard speech make their voices heard
Google is also building Project Relate, an Android app that uses AI research, to help people with non-standard speech communicate more easily. After recording 500 phrases, users receive a personalized speech recognition model. Now available for user testing in Ghana, it can
- transcribe speech into text
- use a synthesized voice to repeat what the speaker has said
- engage Google Assistant to complete tasks, such as asking for directions, playing a song or turning on the lights.
Teaching reading to children worldwide
Read Along, Google’s reading tutor app and website, is helping to increase child literacy. Diya, the in-app reading buddy, listens to the speaker reading aloud, offering support when they struggle, and rewarding them when they do well. Over the past three years, more than 30 million kids have read more than 120 million stories on Read Along. That progress helps the children, but it also affects their families. For example, one of the Lagos users, William, began using the app when he was 10 years old. He went from being able to read for three minutes at a stretch to reading for 90 minutes at a time. “I am more confident about William’s future because he can read well,” said William’s mom, Martha, “Not just reading well — he now loves to read.”