This review systematically examines the integration of machine learning (ML) and artificial intelligence (AI) in nanomedicine ...

AI is not limited to diagnostics or imaging. It also plays a transformative role in biomedical research, computational ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

Artificial Intelligence enabled threat detection for Blockchain attacks mainly involved in the application of deep learning and machine learning techniques to identify and mitigate vulnerable and ...

The predominance of negative sentiment aligns with early public reactions to transformative technologies, where concerns about privacy, job loss, misinformation and ethical boundaries often amplify ...

Black Forest Labs Inc., a startup that develops artificial intelligence models optimized for image generation tasks, has ...

In the context of quantum computing, open source platforms allow developers, researchers, and organisations to collaborate, ...

Producing clean syngas from biomass and plastic waste offers a promising route toward sustainable energy, but the underlying thermochemical processes ...