Indraprastha Institute of Information Technology (IIIT)
The population of the aggressive simian monkey in India is booming. With a lack of predators, they cause injury to humans and the displacement of other wild animals. Using the Microsoft AI for Earth grant to use AI, machine learning and Azure, an app is created and used by citizens to record the monkeys’ geolocation and movements and work towards controlling the wild population with contraception procedures.
University of Western Australia
The adorable quokkas of Rottnest Island are now classified as endangered. A team from the University of Western Australia (UWA) was recently awarded the AI for Earth Compute Grant to design “scat drones” along with high-powered cloud computing to obtain and analyze their genomic samples from around the island to study the cause of their extinction.
Hongik University and Seoul Metropolitan Government
In Seoul, South Korea, a professor from Hongik University developed a new model to analyse and predict the probability of fires so that authorities could take action to make the city safer for its more than 9 million residents.
To optimize students’ learning, a UNSW engineering faculty senior lecturer built an AI chatbot to answer students’ repetitive queries but ended up revolutionizing the entire education industry.
Indigenous Peoples and Digital Skills
Fulfulde, a language spoken by millions of people for centuries but never written, finally has its own writing system – ADLam, which translates to ‘the alphabet that will prevent people from being lost.’
Australian Catholic University
The Australian Catholic University employed a cloud-based enterprise data warehouse to make the data collected from students throughout their university journeys more accessible and available, facilitating the university to make better-informed decisions with these data.
Vivekanand Education Society’s Institute of Technology (VESIT)
The Vivekanand Education Society’s Institute of Technology in India is using an AI-based model developed on the Azure platform to help study the impact of climatic factors and pollution on the spread of tuberculosis (TB). By testing multiple machine learning and neural network models, they are improving the accuracy of its prediction model to help foresee TB hotspots.
Is Japan’s Ashura Buddha happy or sad? Researchers from Nara University turned to Azure Cognitive Services’ Face API to unravel the mystery behind the 1,200-year old statue’s subtle facial expressions.
Kindai University’s Aquaculture Research Institute
In Japan, Kindai University’s Aquaculture Research Institute is using Microsoft AI, machine learning and Internet of Things to transform fish farming operations, and ensure there’s enough Red Sea Bream to satisfy the nation’s appetite.