Zobrazeno 1 - 10
of 1 295
pro vyhledávání: '"GONZALEZ, Hector"'
Autor:
Huang, Jiaxin, Vogginger, Bernhard, Kelber, Florian, Gonzalez, Hector, Knobloch, Klaus, Mayr, Christian Georg
With serial and parallel processors introduced into Spiking Neural Networks (SNNs) execution, more and more researchers are dedicated to improving the performance of the computing paradigms by taking full advantage of the strengths of the available p
Externí odkaz:
http://arxiv.org/abs/2406.17049
Autor:
Chen, Zihao, Xiao, Zhili, Akl, Mahmoud, Leugring, Johannes, Olajide, Omowuyi, Malik, Adil, Dennler, Nik, Harper, Chad, Bose, Subhankar, Gonzalez, Hector A., Eshraghian, Jason, Pignari, Riccardo, Urgese, Gianvito, Andreou, Andreas G., Shankar, Sadasivan, Mayr, Christian, Cauwenberghs, Gert, Chakrabartty, Shantanu
We introduce NeuroSA, a neuromorphic architecture specifically designed to ensure asymptotic convergence to the ground state of an Ising problem using an annealing process that is governed by the physics of quantum mechanical tunneling using Fowler-N
Externí odkaz:
http://arxiv.org/abs/2406.05224
Quantum engineering seeks to exploit quantum information to build, among others, computing, cybersecurity, and metrology technologies. Quantum Software Engineering (QSE) focuses on the information processing side of these technologies. Historically,
Externí odkaz:
http://arxiv.org/abs/2402.08505
Autor:
Vogginger, Bernhard, Rostami, Amirhossein, Jain, Vaibhav, Arfa, Sirine, Hantsch, Andreas, Kappel, David, Schäfer, Michael, Faltings, Ulrike, Gonzalez, Hector A., Liu, Chen, Mayr, Christian, Maaß, Wolfgang
As humans advance toward a higher level of artificial intelligence, it is always at the cost of escalating computational resource consumption, which requires developing novel solutions to meet the exponential growth of AI computing demand. Neuromorph
Externí odkaz:
http://arxiv.org/abs/2402.02521
Autor:
Gonzalez, Hector A., Huang, Jiaxin, Kelber, Florian, Nazeer, Khaleelulla Khan, Langer, Tim, Liu, Chen, Lohrmann, Matthias, Rostami, Amirhossein, Schöne, Mark, Vogginger, Bernhard, Wunderlich, Timo C., Yan, Yexin, Akl, Mahmoud, Mayr, Christian
The joint progress of artificial neural networks (ANNs) and domain specific hardware accelerators such as GPUs and TPUs took over many domains of machine learning research. This development is accompanied by a rapid growth of the required computation
Externí odkaz:
http://arxiv.org/abs/2401.04491
Autor:
Ordaz-Hernández, Armando, Hernández-Carlos, Beatriz, González, Héctor Manuel Arreaga, Hernández-Ramiro, Lorena, Ramírez, Misael Corona, Herrera-Martínez, Mayra
Publikováno v:
In European Journal of Integrative Medicine October 2024 71
Autor:
Parada, Humberto, Jr, Hyde, Eric T., Turyk, Mary E., Persky, Victoria, López-Gálvez, Nicolas, Gallo, Linda C., Talavera, Gregory A., Sjodin, Andreas, González, Hector M.
Publikováno v:
In Ecotoxicology and Environmental Safety 1 September 2024 282
Autor:
López-Randulfe, Javier, Reeb, Nico, Karimi, Negin, Liu, Chen, Gonzalez, Hector A., Dietrich, Robin, Vogginger, Bernhard, Mayr, Christian, Knoll, Alois
After several decades of continuously optimizing computing systems, the Moore's law is reaching itsend. However, there is an increasing demand for fast and efficient processing systems that can handlelarge streams of data while decreasing system foot
Externí odkaz:
http://arxiv.org/abs/2202.12650
Autor:
Smagula, Stephen F., Zhang, Gehui, Krafty, Robert T., Ramos, Alberto, Sotres-Alvarez, Daniela, Rodakowski, Juleen, Gallo, Linda C., Lamar, Melissa, Gujral, Swathi, Fischer, Dorothee, Tarraf, Wassim, Mossavar-Rahmani, Yasmin, Redline, Susan, Stone, Katie L., Gonzalez, Hector M., Patel, Sanjay R.
Publikováno v:
In Sleep Health: Journal of the National Sleep Foundation August 2024 10(4):500-507
Publikováno v:
Bonplandia, 2023 Jan 01. 32(1), 69-74.
Externí odkaz:
https://www.jstor.org/stable/48707895