When an algorithm exploits, it risks missing out on a better option or failing to adapt to a changing environment. Anyone who ...
SaMD development has always operated under tension: the need for rapid iteration versus the requirement for rigorous ...
Music supervisor Frederic Schindler argues it’s time for standardized ‘Music Facts’ labels – modeled on food nutrition panels ...
Study shows tech firms struggle defining fairness in recommendation systems due to organizational incentive constraints ...
Built on physics-based AI models, the partnership is focused on speeding up simulation and expanding what’s possible in race car design. Not just improving the speed of development and cars, but ...
EVOLVE, an agentic framework that autonomously optimizes AI training data, model architectures, and learning algorithms — boosting MMLU scores by 18 points over human baselines.
The federal government has been urged by its own NDIS advisory group to delay the rollout of a controversial new way of determining support plans for participants.
Abstract: This study examines the application of Large Reasoning Model (LRM)-based artificial intelligence (AI) agents to accelerate scientific discovery, with a specific focus on the rapid ...
As in most areas of medicine—and of course, most areas of modern life—artificial intelligence (AI) is blazing its way into urology practice with extraordinary speed. Its impact is coming perhaps ...
Traumatic brain injury (TBI) remains a major global health burden, with computed tomography (CT) serving as the frontline imaging modality for acute assessment. However, CT interpretation is hampered ...
If models are trained primarily on Bahasa Malaysia and English datasets, they will misread speakers of Iban in Miri and the Bajau language in Tawau. A rural patient may be overlooked in healthcare ...