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pro vyhledávání: '"Lu, Thomas"'
Humans encode information into sounds by controlling articulators and decode information from sounds using the auditory apparatus. This paper introduces CiwaGAN, a model of human spoken language acquisition that combines unsupervised articulatory mod
Externí odkaz:
http://arxiv.org/abs/2309.07861
Computational models of syntax are predominantly text-based. Here we propose that the most basic first step in the evolution of syntax can be modeled directly from raw speech in a fully unsupervised way. We focus on one of the most ubiquitous and ele
Externí odkaz:
http://arxiv.org/abs/2305.01626
Artificial intelligence (AI) tools based on large language models have acheived human-level performance on some computer programming tasks. We report several experiments using GPT-4 to generate computer code. These experiments demonstrate that AI cod
Externí odkaz:
http://arxiv.org/abs/2304.13187
Publikováno v:
2023 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD), Kobe, Japan, 2023, pp. 161-164
This paper demonstrates the learning of the underlying device physics by mapping device structure images to their corresponding Current-Voltage (IV) characteristics using a novel framework based on variational autoencoders (VAE). Since VAE is used, d
Externí odkaz:
http://arxiv.org/abs/2304.00738
Autor:
Yun, Kyongsik, Adams, Kyra, Reager, John, Liu, Zhen, Chavez, Caitlyn, Turmon, Michael, Lu, Thomas
California's Central Valley is the national agricultural center, producing 1/4 of the nation's food. However, land in the Central Valley is sinking at a rapid rate (as much as 20 cm per year) due to continued groundwater pumping. Land subsidence has
Externí odkaz:
http://arxiv.org/abs/2212.04813
Autor:
Bian, Shijie, Grandi, Daniele, Hassani, Kaveh, Sadler, Elliot, Borijin, Bodia, Fernandes, Axel, Wang, Andrew, Lu, Thomas, Otis, Richard, Ho, Nhut, Li, Bingbing
Successful material selection is critical in designing and manufacturing products for design automation. Designers leverage their knowledge and experience to create high-quality designs by selecting the most appropriate materials through performance,
Externí odkaz:
http://arxiv.org/abs/2209.12793
There are two main algorithmic approaches to autonomous driving systems: (1) An end-to-end system in which a single deep neural network learns to map sensory input directly into appropriate warning and driving responses. (2) A mediated hybrid recogni
Externí odkaz:
http://arxiv.org/abs/2203.15076
Deep learning (DL) has proven to be an effective machine learning and computer vision technique. DL-based image segmentation, object recognition and classification will aid many in-situ Mars rover tasks such as path planning and artifact recognition/
Externí odkaz:
http://arxiv.org/abs/2201.05775
Paramedics often have to make lifesaving decisions within a limited time in an ambulance. They sometimes ask the doctor for additional medical instructions, during which valuable time passes for the patient. This study aims to automatically fuse voic
Externí odkaz:
http://arxiv.org/abs/2006.04946
Autor:
Abdelsalam, Mohamed E., Hudspeth, Tessa N., Leonards, Laura, Kusin, Samuel B., Buckley, Jennifer R., Bassett, Roland, Awad, Ahmed, Karam, Jose A., Matin, Surena F., Lu, Thomas, Ahrar, Kamran
Publikováno v:
In European Urology Open Science November 2023 57:45-50
