AI for environmental health and monitoring
Predicting bushfire spread
Bushfires are complex processes, making it difficult to accurately predict their progress across the landscape, so we have developed Spark, which can model bushfire spread to help plan for and manage bushfires.
Bees with backpacks fly into schools
Bees are the world’s most prolific pollinators of food crops, and the estimated value of pollination services from managed honey bees in Australia ranges up to $6 billion a year. These busy bees are an integral part of our economy and agricultural industry.
This AI-powered platform can identify insect and snake species from photo
‘Is it venomous?’ is arguably one of the most common questions asked in Australia, home to 170 species of snakes and 2,000 species of spider. Dubbed Critterpedia, the platform will enable the user to take a photo of a snake or spider from any smart device before a trained algorithmic system classifies it, providing information on the family, genus or species.
AI for health and wellbeing
Trillion data points to identify disease-causing genes
Researchers from CSIRO, Australia’s national science agency, have accomplished a world-first by processing one trillion points of genomic data through VariantSpark, an artificial intelligence-based platform, which can help pinpoint the location of specific disease-causing genes in the human genome.
Vision processing for the bionic eye
By extracting and conveying key visual information about the world, the quality of life of bionic eye users can be improved. The project aims to restore functional vision for the blind by developing a bionic retinal prosthesis system that delivers visual information to the brain.
How machine learning is detecting seizures in people with traumatic brain injuries
Traumatic brain injuries affect over 69 million people worldwide, with roughly 700,000 of those Australians. 30% of those Australians are likely to develop chronic epilepsy as the result of their injury, but a small and powerful piece of data-driven medtech could change that.
AI for infrastructure management
Machine learning reveals new insights about energy consumption in Australia
With the majority of Australian households not equipped with smart metres that measure electricity use, and barely any that record gas usage, obtaining the required amount of data to make accurate inferences is challenging.
Water pipe failure prediction
We're using data-driven techniques to improve prediction of pipe failures for water utilities, saving the industry millions of dollars in maintenance costs.
AI for industry innovation
Mixed Reality Lab
A ‘technology game-changer’ for manufacturing and multiple other industries, the Mixed Reality Lab will enable organisations to create ‘digital twins’, or computer-generated copies, of real-world objects.
Reducing waste through ASPIRE
Your trash is someone else's treasure. ASPIRE is a collaborative marketplace for waste management.
AI-led crop forecasting global
PARTNER RELEASE - Recognised by Australia’s national science agency, CSIRO, as one of its breakthrough innovations in artificial intelligence (AI) over the past five years, Graincast™ technology rapidly and remotely predicts hectares planted for over 20 plus crops, as well as forecasts yield for wheat, barley and canola – with more crop types to come.
Ensuring AI is ethical
AI for Environmental and Social Good
The combination of historical tools and cutting edge technology has created a plethora of new opportunities. With the availability of vast quantities of data and the high-powered tools required to understand it, new pathways to accelerate and optimise every aspect of the future have been created.
A framework for ensuring ethical AI
Data61 is working to enhance the role of ethics within artificial intelligence. For Australia to utilise the benefits of AI, it will be important for citizens to have trust in these systems. One way to achieve this is to align the design and application of AI with ethical and inclusive values.