Australian organisations in critical sectors such as finance, government and health are under growing risk of cyber attack. The early warning signs of an incursion are often already sitting in the network data these organisations collect – the challenge is making sense of it quickly enough to prevent a breach.
Generative AI can answer questions, write essays and summarise to a professional standard — allowing students to complete tasks while bypassing the effort through which understanding is built. Offloading their thinking to AI means students may lack the judgement, problem-solving capabilities and deep understanding required to create original solutions to real-world challenges.
The volume of scholarly literature is growing faster than any one researcher can keep up with, and making sense of it at scale is hard. Existing AI tools tend to do one narrow job well — retrieving papers or answering a question about a single document — but struggle to move fluidly from simple retrieval through to synthesising across many papers and generating new knowledge.
A University of Queensland spin-out, Cortisonic, is commercialising a new class of ultra-low-energy computing technology that uses high-frequency sound waves, known as hyper-sound, rather than conventional electronics to process information.
AI is accelerating the discovery of new medicines, agricultural chemicals and safer industrial compounds — but these systems can fail in silent, dangerous ways. A UQ team is pinpointing where AI predictions break down, and building safeguards to make them trustworthy.
