( en | de | ru )

 

Disambiguation of "Shelby, Robert M."

Author of the publication

copydeleteadd this publication to your clipboard
Non-volatile memory as hardware synapse in neuromorphic computing: A first look at reliability issues.

, , , and . IRPS, page 6. IEEE, (2015)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Shelby Yamamoto

Robert M Zoske

Robert M Gillenkirch

Robert M Stutz

Robert M Solomon

 

Other publications of authors with the same name

Non-filamentary non-volatile memory elements as synapses in neuromorphic systems., , , , , , , , , and . NVMTS, page 1-6. IEEE, (2019)Neuromorphic devices and architectures for next-generation cognitive computing., , , , , , and . ISCAS, page 1-4. IEEE, (2017)Highly efficient room-temperature tunnel spin injector using CoFe/MgO(001)., , , and . IBM J. Res. Dev., 50 (1): 111-120 (2006)Reducing circuit design complexity for neuromorphic machine learning systems based on Non-Volatile Memory arrays., , , , , , , , and . ISCAS, page 1-4. IEEE, (2017)Improved Deep Neural Network Hardware-Accelerators Based on Non-Volatile-Memory: The Local Gains Technique., , , , , , , , , and 1 other author(s). ICRC, page 1-8. IEEE, (2017)Large-scale neural networks implemented with Non-Volatile Memory as the synaptic weight element: Impact of conductance response., , , , , , , , , and . ESSDERC, page 440-443. IEEE, (2016)Phase-change random access memory: A scalable technology., , , , , , , , , and 1 other author(s). IBM J. Res. Dev., 52 (4-5): 465-480 (2008)Accelerating machine learning with Non-Volatile Memory: Exploring device and circuit tradeoffs., , , , , , , , and . ICRC, page 1-8. IEEE Computer Society, (2016)Non-volatile memory as hardware synapse in neuromorphic computing: A first look at reliability issues., , , and . IRPS, page 6. IEEE, (2015)Neuromorphic Computing with Phase Change, Device Reliability, and Variability Challenges., , , , , , , , , and . IRPS, page 1-10. IEEE, (2020)