2022 Machine Learning

Advances in the vital field of machine learning revolutionize our understanding of the world and transform our daily engagements.

The collection below, handpicked by the editors, highlights publications from leading researchers working on concepts including materials, devices, systems, algorithms, and other disciplines relevant for the development of better ML and AI technologies.

While selections for this collection are now closed, submissions from researchers working in the field are welcome year-round. Manuscripts can be submitted at: https://aipadvances.peerx-press.org