Researchers propose a framework using data fusion and prediction fusion to improve deep learning models for mapping woody vegetation in New South Wales, Australia, achieving error reductions of 38.2% …
Researchers introduced a loss scaling coefficient α to align deep learning models for woody clearing detection with end-user Fβ metrics, increasing precision by 1.85x or recall by 1.12x on 7 years of …
Anthropic's usage data shows Australia leads 121 countries in per-capita Claude AI usage, with an index up to 6.4 times its population would predict, yet only 8.32% of Australian conversations involve…
New South Wales schools will ban unsupervised take-home tests over concerns about artificial intelligence, while federal transport minister Catherine King has called an urgent meeting with Air Service…
NextDC has scrapped plans to cool OpenAI's planned 612MW data center in Sydney using recycled sewage water, switching instead to a waterless direct liquid cooling system after failing to secure planni…