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researcher

Sang‐Bum Kim

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.NE2
  • cs.IT1
ORCID 0000-0001-7460-3750

identity via Semantic Scholar / OpenAlex

activity
20142017
most citedBrain-like associative learning using a nanoscale non-volatile phase change synaptic device array

210 citations · 244 across the 3 of their papers we have counts for

collaborators

3 papers

cs.IT2017★ 1 cited

Opportunities for Analog Coding in Emerging Memory Systems

Jesse H. Engel, S. Burc Eryilmaz, SangBum Kim +5

The exponential growth in data generation and large-scale data analysis creates an unprecedented need for inexpensive, low-latency, and high-density information storage. This need…

cs.NE2016★ 33 cited

Training a Probabilistic Graphical Model with Resistive Switching Electronic Synapses

S. Burc Eryilmaz, Emre Neftci, Siddharth Joshi +6

Current large scale implementations of deep learning and data mining require thousands of processors, massive amounts of off-chip memory, and consume gigajoules of energy. Emerging…

cs.NE2014★ 210 cited

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

Sukru Burc Eryilmaz, Duygu Kuzum, Rakesh Jeyasingh +4

Recent advances in neuroscience together with nanoscale electronic device technology have resulted in huge interests in realizing brain-like computing hardwares using emerging nano…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.