National Academies of Sciences%2c Engineering%2c and Medicine

Using Machine Learning in Safety-Critical Applications: Setting a Research Agenda

Machine learning components are enabling advances in self-driving cars, the power grid, and robotic medicine, but what are the implications for safety? Decades of research and practice in safety ...
Nature

Application of causal forest double machine learning (DML) approach to assess tuberculosis preventive therapy’s impact on ART adherence

Adherence to antiretroviral therapy (ART) is critical for HIV treatment success, yet the impact of tuberculosis preventive therapy (TPT) remains inadequately understood. Using observational data from ...
Semiconductor Engineering

Classical Computing vs. Machine Learning and Edge AI Techniques in Various Application Domains

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation. The deployment of ML models on embedded edge devices, characterized by ...
Nature

Lightweight machine learning models and edge computing applications

Artificial intelligence has become a crucial part of research and everyday life. The most powerful models require a large amount of data and energy for their training and development, and the ...