Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Schuman, Catherine D."'
Autor:
Patel, Karan P., Maicke, Andrew, Arzate, Jared, Kwon, Jaesuk, Smith, J. Darby, Aimone, James B., Incorvia, Jean Anne C., Cardwell, Suma G., Schuman, Catherine D.
Novel devices and novel computing paradigms are key for energy efficient, performant future computing systems. However, designing devices for new applications is often time consuming and tedious. Here, we investigate the design and optimization of sp
Externí odkaz:
http://arxiv.org/abs/2411.01008
Spiking neural networks are powerful computational elements that pair well with event-based cameras (EBCs). In this work, we present two spiking neural network architectures that process events from EBCs: one that isolates and filters out events base
Externí odkaz:
http://arxiv.org/abs/2401.15212
Autor:
Park, Jaeseoung, Kumar, Ashwani, Zhou, Yucheng, Oh, Sangheon, Kim, Jeong-Hoon, Shi, Yuhan, Jain, Soumil, Hota, Gopabandhu, Nagle, Amelie L., Schuman, Catherine D., Cauwenberghs, Gert, Kuzum, Duygu
Resistive memory-based reconfigurable systems constructed by CMOS-RRAM integration hold great promise for low energy and high throughput neuromorphic computing. However, most RRAM technologies relying on filamentary switching suffer from variations a
Externí odkaz:
http://arxiv.org/abs/2310.13844
Neuromorphic Computing promises orders of magnitude improvement in energy efficiency compared to traditional von Neumann computing paradigm. The goal is to develop an adaptive, fault-tolerant, low-footprint, fast, low-energy intelligent system by lea
Externí odkaz:
http://arxiv.org/abs/2310.09692
Autor:
Islam, Md Mazharul, Alam, Shamiul, Schuman, Catherine D, Hossain, Md Shafayat, Aziz, Ahmedullah
Spiking neural network offers the most bio-realistic approach to mimic the parallelism and compactness of the human brain. A spiking neuron is the central component of an SNN which generates information-encoded spikes. We present a comprehensive desi
Externí odkaz:
http://arxiv.org/abs/2308.15754
RAVENS is a neuroprocessor that has been developed by the TENNLab research group at the University of Tennessee. Its main focus has been as a vehicle for chip design with memristive elements; however it has also been the vehicle for all-digital CMOS
Externí odkaz:
http://arxiv.org/abs/2307.15232
Autor:
Kulkarni, Shruti R., Young, Aaron, Date, Prasanna, Miniskar, Narasinga Rao, Vetter, Jeffrey S., Fahim, Farah, Parpillon, Benjamin, Dickinson, Jennet, Tran, Nhan, Yoo, Jieun, Mills, Corrinne, Swartz, Morris, Maksimovic, Petar, Schuman, Catherine D., Bean, Alice
This work describes the investigation of neuromorphic computing-based spiking neural network (SNN) models used to filter data from sensor electronics in high energy physics experiments conducted at the High Luminosity Large Hadron Collider. We presen
Externí odkaz:
http://arxiv.org/abs/2307.11242
Autor:
Cardwell, Suma G., Schuman, Catherine D., Smith, J. Darby, Patel, Karan, Kwon, Jaesuk, Liu, Samuel, Allemang, Christopher, Misra, Shashank, Incorvia, Jean Anne, Aimone, James B.
Stochasticity is ubiquitous in the world around us. However, our predominant computing paradigm is deterministic. Random number generation (RNG) can be a computationally inefficient operation in this system especially for larger workloads. Our work l
Externí odkaz:
http://arxiv.org/abs/2212.00625
This paper presents a Neuromorphic Starter Kit, which has been designed to help a variety of research groups perform research, exploration and real-world demonstrations of brain-based, neuromorphic processors and hardware environments. A prototype ki
Externí odkaz:
http://arxiv.org/abs/2211.04526
Autor:
Plank, James S., Zheng, ChaoHui, Gullett, Bryson, Skuda, Nicholas, Rizzo, Charles, Schuman, Catherine D., Rose, Garrett S.
In this paper, we introduce RISP, a reduced instruction spiking processor. While most spiking neuroprocessors are based on the brain, or notions from the brain, we present the case for a spiking processor that simplifies rather than complicates. As s
Externí odkaz:
http://arxiv.org/abs/2206.14016