Advancing AI

Researchers at UQ are tackling one of the biggest challenges in modern data science: transforming vast amounts of scattered, inconsistent information into reliable, actionable knowledge. Their work focuses on developing advanced methods that can automatically discover relevant datasets, reveal hidden connections between them, and improve data quality at scale.

The UQ Centre for Enterprise AI is Australia’s first research centre dedicated to Enterprise AI development and successful adoption.

UQ researchers are developing privacy-preserving AI workflows that allow sensitive language data to be analysed without exposing participant information to external AI platforms.

Machine learning is helping UQ researchers control one of nature's strangest states of matter. These systems can detect tiny changes in gravity, motion and magnetic fields, opening new possibilities for navigation, resource exploration and scientific research.

UQ researchers are combining digital twins, AI-enabled analytics, immersive visualisation and spatial intelligence technologies to transform that data into meaningful insights, helping people understand, test and improve decisions before they are implemented in the real world.

Planning a major conference is a complex logistical puzzle. TaxoConf uses AI to help organisers build coherent, conflict-free programs in a fraction of the time.

Machine learning has transformed how researchers analyse data, but future advances may require entirely new forms of computing. UQ researchers are developing quantum machine-learning methods that explore how quantum computers could one day learn from data in fundamentally different ways, helping lay the foundations for the next generation of AI technologies.

UQ researchers are investigating how AI and automation can support better decision making while helping people maintain the skills, judgement and expertise needed to work effectively, safely and fairly in a digital age.

AI is accelerating the discovery of new medicines, agricultural chemicals and safer industrial compounds — but these systems can fail in silent, dangerous ways.

UQ researchers worked with MIT FutureTech to identify the most significant risks posed by artificial intelligence, helping governments, industry and researchers prioritise the AI risks requiring the most urgent attention.