Detecting cancer in the earliest stages could dramatically reduce cancer deaths because cancers are usually easier to treat when caught early.

A new AI model designs peptides (short proteins) that are targeted by enzymes called proteases, which are overactive in cancer cells. Nanoparticles coated with these peptides can act as sensors that ...

AI text detectors promise certainty in a moment when synthetic writing is everywhere, but the technology simply cannot ...

A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...

Accuracy is the make-or-break factor. If a detector flags too much code by mistake, it wastes time and frustrates developers. If it misses AI-generated sections, it cannot deliver the transparency ...

Australia’s former chief scientist has launched a start-up to certify human-created content as AI ‘slop’ floods publishing ...

Abstract: Natural language processing (NLP) models are widely used in various scenarios, yet they are vulnerable to adversarial attacks. Existing works aim to mitigate this vulnerability, but each ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

There are several methods for detecting whether a piece of text was written by AI. They all have limitations – and probably ...

People and institutions are grappling with the consequences of AI-written text. Teachers want to know whether students' work reflects their own understanding; consumers want to know whether an ...

T.J. Thomson receives funding from the Australian Research Council. He is an affiliate with the ARC Centre of Excellence for Automated Decision Making & Society. Aaron J. Snoswell receives research ...