A research team introduces PodNet, the first real-time instance segmentation model designed for preharvest soybean fields.

A research team has developed a novel artificial intelligence (AI) system that enables low-cost agricultural robots to “see” in three dimensions using only a single camera.

Researchers from the University of Plymouth (UK) have developed and tested a deep learning model which, in a newly-published research study, has been shown to achieve up to 98% accuracy in distinguishing autistic from neurotypical participants. The researchers hope that, with further validation, their model could benefit autistic people - and the clinicians who assess and support them - by providing accurate, explainable insights to inform decisions.

Cervical cancer is the fourth most common cancer among women globally, according to the World Health Organization. It accounted for 660,000 new cases and 350,000 deaths in 2022.

Screening, along with early detection and treatment, can greatly improve a patient’s chances of survival. But in low- to middle-income countries, many women are not being screened, and they’re disproportionately dying from the disease.

In new research from Texas McCombs, Anima Nivsarkar, a doctoral student in marketing, uncovers a powerful tool to boost screening: trust. When messages are delivered by trusted and credible sources such as doctors and peers, they increase the likelihood that women will seek potentially life-saving exams.