Chalcogenide phase-change devices for neuromorphic photonic computing
The integration of artificial intelligence systems into daily applications like speech recognition and autonomous driving rapidly increases the amount of data generated and processed. However, satisfying the hardware requirements with the conventional von Neumann architecture remains challenging due...
Үндсэн зохиолчид: | Brueckerhoff-Plueckelmann, F, Feldmann, J, Wright, CD, Bhaskaran, H, Pernice, WHP |
---|---|
Формат: | Journal article |
Хэл сонгох: | English |
Хэвлэсэн: |
American Institute of Physics
2021
|
Ижил төстэй зүйлс
Ижил төстэй зүйлс
-
Photonics for artificial intelligence and neuromorphic computing
-н: Shastri, BJ, зэрэг
Хэвлэсэн: (2021) -
Chalcogenide optomemristors for multi-factor neuromorphic computation
-н: Sarwat, SG, зэрэг
Хэвлэсэн: (2022) -
A large scale photonic matrix processor enabled by charge accumulation
-н: Brueckerhoff-Plueckelmann, F, зэрэг
Хэвлэсэн: (2022) -
Behavioral modeling of integrated phase-change photonic devices for neuromorphic computing applications
-н: Carrillo, S, зэрэг
Хэвлэсэн: (2019) -
Integrated 256 cell photonic phase-change memory with 512-bit capacity
-н: Feldmann, J, зэрэг
Хэвлэсэн: (2019)