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...
Автори: | Brueckerhoff-Plueckelmann, F, Feldmann, J, Wright, CD, Bhaskaran, H, Pernice, WHP |
---|---|
Формат: | Journal article |
Мова: | English |
Опубліковано: |
American Institute of Physics
2021
|
Схожі ресурси
-
Photonics for artificial intelligence and neuromorphic computing
за авторством: Shastri, BJ, та інші
Опубліковано: (2021) -
Chalcogenide optomemristors for multi-factor neuromorphic computation
за авторством: Sarwat, SG, та інші
Опубліковано: (2022) -
Behavioral modeling of integrated phase-change photonic devices for neuromorphic computing applications
за авторством: Carrillo, S, та інші
Опубліковано: (2019) -
A large scale photonic matrix processor enabled by charge accumulation
за авторством: Brueckerhoff-Plueckelmann, F, та інші
Опубліковано: (2022) -
Integrated 256 cell photonic phase-change memory with 512-bit capacity
за авторством: Feldmann, J, та інші
Опубліковано: (2019)