Daniel Bankman
Daniel Bankman
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Title
Cited by
Cited by
Year
An Always-On 3.8 J/86% CIFAR-10 Mixed-Signal Binary CNN Processor With All Memory on Chip in 28-nm CMOS
D Bankman, L Yang, B Moons, M Verhelst, B Murmann
IEEE Journal of Solid-State Circuits 54 (1), 158-172, 2018
1212018
Mixed-signal circuits for embedded machine-learning applications
B Murmann, D Bankman, E Chai, D Miyashita, L Yang
2015 49th Asilomar Conference on Signals, Systems and Computers, 1341-1345, 2015
422015
BinarEye: An always-on energy-accuracy-scalable binary CNN processor with all memory on chip in 28nm CMOS
B Moons, D Bankman, L Yang, B Murmann, M Verhelst
2018 IEEE Custom Integrated Circuits Conference (CICC), 1-4, 2018
362018
An 8-bit, 16 input, 3.2 pJ/op switched-capacitor dot product circuit in 28-nm FDSOI CMOS
D Bankman, B Murmann
2016 IEEE Asian Solid-State Circuits Conference (A-SSCC), 21-24, 2016
362016
Passive charge redistribution digital-to-analogue multiplier
D Bankman, B Murmann
Electronics Letters 51 (5), 386-388, 2015
152015
Embedded Deep Learning
B Moons, D Bankman, M Verhelst
132019
Bit error tolerance of a CIFAR-10 binarized convolutional neural network processor
L Yang, D Bankman, B Moons, M Verhelst, B Murmann
2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018
122018
Pattern recognition for detection of human heads in infrared images
DJ Bankman, TM Neighoff
Optical Engineering 47 (4), 046404, 2008
62008
TRIG: hardware accelerator for inference-based applications and experimental demonstration using carbon nanotube FETs
G Hills, D Bankman, B Moons, L Yang, J Hillard, A Kahng, R Park, ...
Proceedings of the 55th Annual Design Automation Conference, 1-10, 2018
52018
Understanding Metastability in SAR ADCs: Part II: Asynchronous
A Yu, D Bankman, K Zheng, B Murmann
IEEE Solid-State Circuits Magazine 11 (3), 16-32, 2019
32019
Study of compact stereoscopic system for target distance estimation
DJ Bankman
Acquisition, Tracking, and Pointing XX 6238, 62380E, 2006
32006
RRAM-based in-memory computing for embedded deep neural networks
D Bankman, J Messner, A Gural, B Murmann
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 1511-1515, 2019
22019
Automated target recognition of humans in infrared images
D Bankman, T Neighoff
Unattended Ground, Sea, and Air Sensor Technologies and Applications IX 6562 …, 2007
22007
Understanding Metastability in SAR ADCs: Part I: Synchronous
D Bankman, A Yu, K Zheng, B Murmann
IEEE Solid-State Circuits Magazine 11 (2), 86-97, 2019
12019
The ActiveMetadata Framework
C McCubbin, RS Cost, J Cole, N Kratzmeier, M Dale, D Bankman
Agent-Based Ubiquitous Computing, 85-102, 2009
2009
Extending Service Oriented Architectures to Edge Networks with Active Metadata and Swarming
C McCubbin, RS Cost, M Dale, P Worley, D Bankman
2008
Efficient Swarming Algorithms for Information Distribution
C McCubbin, RS Cost, M Dale, D Bankman, N Kratzmeier
AUVSI Unmanned Systems North America Conference 1, 102, 2008
2008
13TH ICCRTS: C2 for Complex Endeavors “Extending Service Oriented Architectures to Edge Networks with Active Metadata and Swarming” Topics: Collaborative Technologies for …
C McCubbin, RS Cost, M Dale, P Worley, D Bankman
2008
Ranging with a small stereoscopic system
D Bankman
2006
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Articles 1–19