Ontology highlight
ABSTRACT:
SUBMITTER: Aguirre F
PROVIDER: S-EPMC10912231 | biostudies-literature | 2024 Mar
REPOSITORIES: biostudies-literature
Aguirre Fernando F Sebastian Abu A Le Gallo Manuel M Song Wenhao W Wang Tong T Yang J Joshua JJ Lu Wei W Chang Meng-Fan MF Ielmini Daniele D Yang Yuchao Y Mehonic Adnan A Kenyon Anthony A Villena Marco A MA Roldán Juan B JB Wu Yuting Y Hsu Hung-Hsi HH Raghavan Nagarajan N Suñé Jordi J Miranda Enrique E Eltawil Ahmed A Setti Gianluca G Smagulova Kamilya K Salama Khaled N KN Krestinskaya Olga O Yan Xiaobing X Ang Kah-Wee KW Jain Samarth S Li Sifan S Alharbi Osamah O Pazos Sebastian S Lanza Mario M
Nature communications 20240304 1
Artificial Intelligence (AI) is currently experiencing a bloom driven by deep learning (DL) techniques, which rely on networks of connected simple computing units operating in parallel. The low communication bandwidth between memory and processing units in conventional von Neumann machines does not support the requirements of emerging applications that rely extensively on large sets of data. More recent computing paradigms, such as high parallelization and near-memory computing, help alleviate t ...[more]