Machine learning (ML) and computer vision (CV) technologies are vital branches of artificial intelligence (AI) that help automate tasks and increase efficiency across industries. Experts predict that ...

The primary reason that organizations are moving to cloud computing is elasticity: the ability to engage more servers during periods of high usage. However, the increasing complexity of clouds creates ...

The National Academies will hold a workshop on the opportunities and challenges, including the ethical development and use, of using machine learning and artificial intelligence (ML/AI) to advance ...

Federated Learning (FL) has gained significant attention as a novel distributed machine learning paradigm that enables collaborative model training while preserving data privacy. However, traditional ...

In the evolving technology landscape, enterprises have invested more than ever in powerful automation, cloud computing, microservices and the IoT to serve their end users faster. Although these ...

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

Understanding and preventing drug side effects holds a profound influence on drug development and utilization, profoundly impacting patients’ physical and mental well-being. Traditional artificial ...