Zobrazeno 1 - 10
of 6 448
pro vyhledávání: '"Kanter P"'
Publikováno v:
Physica A, Statistical Mechanics and its Applications (2024), 130166
Significant variations of delays among connecting neurons cause an inevitable disadvantage of asynchronous brain dynamics compared to synchronous deep learning. However, this study demonstrates that this disadvantage can be converted into a computati
Externí odkaz:
http://arxiv.org/abs/2410.11384
Autor:
Tschand, Arya, Rajan, Arun Tejusve Raghunath, Idgunji, Sachin, Ghosh, Anirban, Holleman, Jeremy, Kiraly, Csaba, Ambalkar, Pawan, Borkar, Ritika, Chukka, Ramesh, Cockrell, Trevor, Curtis, Oliver, Fursin, Grigori, Hodak, Miro, Kassa, Hiwot, Lokhmotov, Anton, Miskovic, Dejan, Pan, Yuechao, Manmathan, Manu Prasad, Raymond, Liz, John, Tom St., Suresh, Arjun, Taubitz, Rowan, Zhan, Sean, Wasson, Scott, Kanter, David, Reddi, Vijay Janapa
Rapid adoption of machine learning (ML) technologies has led to a surge in power consumption across diverse systems, from tiny IoT devices to massive datacenter clusters. Benchmarking the energy efficiency of these systems is crucial for optimization
Externí odkaz:
http://arxiv.org/abs/2410.12032
Autor:
Ramesh, Anirudh, Reilly, Daniel R., Lee, Kim Fook, Moraw, Paul M., Chung, Joaquin, Islam, Md Shariful, Peña, Cristián, Han, Xu, Kettimuthu, Rajkumar, Kumar, Prem, Kanter, Gregory
Interference between independently generated photons is a key step towards distributing entanglement over long distances, but it requires synchronization between the distantly-located photon sources. Synchronizing the clocks of such photon sources us
Externí odkaz:
http://arxiv.org/abs/2407.01225
Autor:
Thomas, Jordan M., Yeh, Fei I., Chen, Jim Hao, Mambretti, Joe J., Kohlert, Scott J., Kanter, Gregory S., Kumar, Prem
The ability for quantum and conventional networks to operate in the same optical fibers would aid the deployment of quantum network technology on a large scale. Quantum teleportation is a fundamental operation in quantum networking, but has yet to be
Externí odkaz:
http://arxiv.org/abs/2404.10738
Autor:
Del-Pinto, Warren, Demetriou, George, Jani, Meghna, Patel, Rikesh, Gray, Leanne, Bulcock, Alex, Peek, Niels, Kanter, Andrew S., Dixon, William G, Nenadic, Goran
Coding of unstructured clinical free-text to produce interoperable structured data is essential to improve direct care, support clinical communication and to enable clinical research.However, manual clinical coding is difficult and time consuming, wh
Externí odkaz:
http://arxiv.org/abs/2311.10856
Publikováno v:
Scientific Reports volume 14, Article number: 5881 (2024)
Recently, the underlying mechanism for successful deep learning (DL) was presented based on a quantitative method that measures the quality of a single filter in each layer of a DL model, particularly VGG-16 trained on CIFAR-10. This method exemplifi
Externí odkaz:
http://arxiv.org/abs/2309.07537
Autor:
Gómez, Rafael Mosquera, Eusse, Julián, Ciro, Juan, Galvez, Daniel, Hileman, Ryan, Bollacker, Kurt, Kanter, David
The Speech Wikimedia Dataset is a publicly available compilation of audio with transcriptions extracted from Wikimedia Commons. It includes 1780 hours (195 GB) of CC-BY-SA licensed transcribed speech from a diverse set of scenarios and speakers, in 7
Externí odkaz:
http://arxiv.org/abs/2308.15710
We study bi-directional associative neural networks that, exposed to noisy examples of an extensive number of random archetypes, learn the latter (with or without the presence of a teacher) when the supplied information is enough: in this setting, le
Externí odkaz:
http://arxiv.org/abs/2307.08365
Autor:
Tzach, Yarden, Meir, Yuval, Tevet, Ofek, Gross, Ronit D., Hodassman, Shiri, Vardi, Roni, Kanter, Ido
Deep architectures consist of tens or hundreds of convolutional layers (CLs) that terminate with a few fully connected (FC) layers and an output layer representing the possible labels of a complex classification task. According to the existing deep l
Externí odkaz:
http://arxiv.org/abs/2305.18078
Autor:
Yoo, S. J. Ben, Singh, Sandeep Kumar, On, Mehmet Berkay, Gul, Gamze, Kanter, Gregory S., Proietti, Roberto, Kumar, Prem
We introduce a new concept of Quantum Wrapper Networking, which enables control, management, and operation of quantum networks that can co-exist with classical networks while keeping the requirements for quantum networks intact. The quantum wrapper n
Externí odkaz:
http://arxiv.org/abs/2305.00591