In addition, the book includes an introduction to artificial neural networks, convex optimization, multi-objective optimization and applications of optimization in machine learning. About the Purdue ...

Bentham Science is pleased to announce the release of Advancements in Artificial Intelligence and Machine Learning, a timely publication exploring the transformative role of AI and ML across diverse ...

In the quest for safer roads, a groundbreaking study by the University of Massachusetts Amherst engineers has leveraged machine learning to predict road crashes with remarkable precision. This ...

Machine learning, with its ability to analyze large datasets and identify patterns, is particularly well-suited to address the challenges presented by the vast and complex data generated in ...

Functional verification is computationally and data-intensive by nature, making it a natural target of machine learning applications. This paper provides a comprehensive and up-to-date analysis of FV ...

Predicting outcomes following endovascular aortoiliac revascularization using machine learning Ben Li Badr Aljabri Mohammed Al-Omran Article Open Access 24 Jul 2025 npj Digital Medicine ...

Payman Benham, Sixu Li, Irene Wang, and William Won were chosen from over 150 applicants based on their machine learning (ML) ...

Description A National Academies of Sciences, Engineering, and Medicine study will explore the trustworthiness of machine learning (ML), especially very large or complex models, in safety-critical ...