Parallel programming of an ionic floating-gate memory array for scalable neuromorphic computing.
Saved in:
| Title: | Parallel programming of an ionic floating-gate memory array for scalable neuromorphic computing. |
|---|---|
| Authors: | Fuller, Elliot J. (AUTHOR), Keene, Scott T. (AUTHOR), Melianas, Armantas (AUTHOR), Wang, Zhongrui (AUTHOR), Agarwal, Sapan (AUTHOR), Li, Yiyang (AUTHOR), Tuchman, Yaakov (AUTHOR), James, Conrad D. (AUTHOR), Marinella, Matthew J. (AUTHOR), Yang, J. Joshua (AUTHOR), Salleo, Alberto (AUTHOR), Talin, A. Alec (AUTHOR) |
| Source: | Science (pre-March 2025). 5/10/2019, Vol. 364 Issue 6440, p570-574. 5p. 3 Diagrams. |
| Subjects: | Artificial neural networks, Complementary metal oxide semiconductors, Parallel programs (Computer programs), Parallel programming, Transistors |
| Abstract: | The article discusses research on the use of scalable neuromorphic computers in relation to the parallel programming of ionic floating-gate (IFG) memory arrays. Topics include the role of conductive-bridge memory (CBM), the use of artificial neural network (ANN) learning, and complementary metal oxide semiconductor (CMOS). The use of a redox transistor array is noted. |
| Database: | Psychology and Behavioral Sciences Collection |
|
Full text is not displayed to guests.
Login for full access.
|
|
Be the first to leave a comment!
