News: case study
Objectively Mapping the Future
Equipping robots with similar navigational skills has been a research challenge for some time. PhD student Kejie Li has been working towards this leap through object-oriented SLAM, which enables robots to recognise objects in context.
Speeding disease diagnosis
A particularly exciting extension of AIML’s machine learning work is the University of Adelaide’s collaborative creation of the world’s first AI microbiology screening technology for use in pathology laboratories.
Accelerating crop farmers’ adaptation to climate change
A valuable world-first application of the University of Adelaide’s AI image-analysis technology is in the agricultural sector.
[Read more about Accelerating crop farmers’ adaptation to climate change]
Emulating nature’s perfect pursuit
The University of Adelaide’s machine learning expertise is also making waves in defence and other sectors, by enhancing autonomous-pursuit capabilities.
