Roadmap on emerging hardware and technology for machine learning

Recent progress in artificial intelligence is largely attributed to the rapid development of machine learning, especially in the algorithm and neural network models. However, it is the performance of the hardware, in particular the energy efficiency of a computing system that sets the fundamental li...

Full description

Bibliographic Details
Main Authors:	Xia, Q, Berggren, KK, Likharev, K, Strukov, DB, Jiang, H, Mikolajick, T, Querlioz, D, Salinga, M, Erickson, J, Pi, S, Xiong, F, Lin, P, Li, C, Xiong, S, Hoskins, B, Daniels, M, Madhavan, A, Liddle, J, McClelland, J, Yang, Y, Rupp, J, Nonnenmann, S, Gong, N, Cheng, K-TT, Lastras Montaño, MA, Talin, AA, Salleo, A, Shastri, BJ, Ferreira de Lima, T, Tait, AN, Shen, Y, Meng, H, Roques-Carmes, C, Cheng, Z, Bhaskaran, H, Jariwala, D, Wang, H, Segall, K, Shainline, J, Yang, JJ, Roy, K, Datta, S, Raychowdhury, A
Format:	Journal article
Language:	English
Published:	IOP Publishing 2020

Roadmap on emerging hardware and technology for machine learning

Similar Items