A deep learning model using retinal images obtained during retinopathy of prematurity (ROP) screening may be used to predict diagnosis of bronchopulmonary dysplasia (BPD) and pulmonary hypertension ...

Ensemble integrating three architectures achieved area under the curve of 0.9208, outperforming individual models ...

Model predicts effect of mutations on sequences up to 1 million base pairs in length and is adept at tackling complex ...

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

Machine learning models accurately predict survival after surgery for upper tract urothelial cancer, supporting personalised follow up and adjuvant treatment decisions.

Robotics is entering a new phase where general-purpose learning matters as much as mechanical design. Instead of programming ...

Imagine trying to teach a child how to solve a tricky math problem. You might start by showing them examples, guiding them step by step, and encouraging them to think critically about their approach.

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

Federated learning makes it possible for agency employees to collaborate on advanced artificial intelligence models without compromising data control or operational security. The process serves as a ...