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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:

Special Collection Image
Pranas Juknevicius; Jevgenij Chmeliov; Leonas Valkunas; Andrius Gelzinis
Hyoeun Kang; Yongsu Kim; Thi-Thu-Huong Le; Changwoo Choi; Yoonyoung Hong; Seungdo Hong; Sim Won Chin; Howon Kim
Yogesh Khatri; Rajesh Sharma; Ashutosh Shah; Arti Kashyap
Cooper Lorsung; Amir Barati Farimani
Julian Schuhmacher; Guglielmo Mazzola; Francesco Tacchino; Olga Dmitriyeva; Tai Bui; Shanshan Huang; Ivano Tavernelli
A. Jo; Y. Kim; W. Lee
Deying Meng (孟德颖); Mingtao Shi (史明涛); Yipeng Shi (史一蓬); Yiding Zhu (朱一丁)
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