Search Results for author: Sukru Burc Eryilmaz

Found 3 papers, 0 papers with code

Device and System Level Design Considerations for Analog-Non-Volatile-Memory Based Neuromorphic Architectures

no code implementations25 Dec 2015 Sukru Burc Eryilmaz, Duygu Kuzum, Shimeng Yu, H. -S. Philip Wong

This paper gives an overview of recent progress in the brain inspired computing field with a focus on implementation using emerging memories as electronic synapses.

Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array

no code implementations19 Jun 2014 Sukru Burc Eryilmaz, Duygu Kuzum, Rakesh Jeyasingh, Sang-Bum Kim, Matthew BrightSky, Chung Lam, H. -S. Philip Wong

Recent advances in neuroscience together with nanoscale electronic device technology have resulted in huge interests in realizing brain-like computing hardwares using emerging nanoscale memory devices as synaptic elements.

Supervised classification-based stock prediction and portfolio optimization

no code implementations3 Jun 2014 Sercan Arik, Sukru Burc Eryilmaz, Adam Goldberg

In this work, we apply machine learning techniques to address automated stock picking, while using a larger number of financial parameters for individual companies than the previous studies.

Classification General Classification +3

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