APL Machine Learning features vibrant and timely research for two communities: researchers who use machine learning (ML) and data-driven approaches for physical sciences and related disciplines, and researchers from these disciplines who work on novel concepts, including materials, devices, systems, and algorithms relevant for the development of better ML and AI technologies.
The rise of artificial intelligence requires a growing amount of computing power that is not sustainable with current computing technologies. In this context, the field of neuromorphic and in-memory computing…
This Special Topic focuses on the transformative impact of machine learning in self-driving laboratory environments and closed-loop experimentation systems. It aims to highlight the development, implementation, and optimization of advanced…