2022
New science discovers coral seed banks
CSIRO scientists have found that corals store dormant 'seed banks' like forests do. This unexpected finding shows reefs can recover in surprising ways.
Worldwide trawling impact revealed
Hidden beneath the waves, the impact of bottom trawling is often talked about but rarely properly understood. A recent CSIRO-led study has quantified that impact on a worldwide scale.
Calculating the costs of net zero emissions
A new CSIRO report ‘Exploring climate risk in Australia’ asks what the financial implications might be if we delay the transition to net zero emissions.
Artificial intelligence (AI), machine learning and deep learning: what can they do for agriculture?
Artificial intelligence and its sub-branches machine learning and deep learning are making their way into agriculture and agribusiness. They're helping make decisions and predictions once never dreamed of.
Tracing the source of the Mataranka Springs
The Mataranka Springs Complex is a unique water resource in the Northern Territory. Recent CSIRO research has uncovered important new information about the sources of water for the Springs.
Technological innovation will drive change in Australia’s energy system
Our analysis from 2017 estimated it would cost Australia a trillion dollars to convert to renewables. Our current estimate is $500 billion. A large part of this is because of recent technological innovation.
What’s brewing? Precision food proteins from fermentation
Precision fermentation has emerged as one of the frontrunners for additional sources of protein that could underpin the growth of a sustainable bioeconomy in Australia. We explain current trends and future research priorities.
Driving down Australia’s energy sector emissions
Electricity generation is the biggest contributor to our national greenhouse gas emissions, and it's undergoing a rapid transition.
The eyes don’t have it: Machine vision to improve cotton breeding
It might surprise you that the precise scientific field of cotton breeding also involves a high degree of visual estimation. Can artificial intelligence and machine learning take its place?