Zobrazeno 1 - 10
of 207 475
pro vyhledávání: '"A. Williamson"'
The next generation of radio astronomy telescopes are challenging existing data analysis paradigms, as they have an order of magnitude larger collecting area and bandwidth. The two primary problems encountered when processing this data are the need f
Externí odkaz:
http://arxiv.org/abs/2410.02285
Quantum computation must be performed in a fault-tolerant manner to be realizable in practice. Recent progress has uncovered quantum error-correcting codes with sparse connectivity requirements and constant qubit overhead. Existing schemes for fault-
Externí odkaz:
http://arxiv.org/abs/2410.02213
Autor:
Pias, Sabid Bin Habib, Freel, Alicia, Huang, Ran, Williamson, Donald, Kim, Minjeong, Kapadia, Apu
Voice Assistants (VAs) are popular for simple tasks, but users are often hesitant to use them for complex activities like online shopping. We explored whether the vocal characteristics like the VA's vocal tone, can make VAs perceived as more attracti
Externí odkaz:
http://arxiv.org/abs/2409.18941
Many commonly studied species now have more than one chromosome-scale genome assembly, revealing a large amount of genetic diversity previously missed by approaches that map short reads to a single reference. However, many species still lack multiple
Externí odkaz:
http://arxiv.org/abs/2409.11683
Autor:
Williamson, L. A.
We show that the conventional Jarzynski equality does not hold for a system prepared in a microcanonical ensemble. We derive a modified equality that connects microcanonical work fluctuations to entropy production, in an analogous way to the Jarzynsk
Externí odkaz:
http://arxiv.org/abs/2409.10810
Autor:
Dehghani, Farzaneh, Dibaji, Mahsa, Anzum, Fahim, Dey, Lily, Basdemir, Alican, Bayat, Sayeh, Boucher, Jean-Christophe, Drew, Steve, Eaton, Sarah Elaine, Frayne, Richard, Ginde, Gouri, Harris, Ashley, Ioannou, Yani, Lebel, Catherine, Lysack, John, Arzuaga, Leslie Salgado, Stanley, Emma, Souza, Roberto, Santos, Ronnie de Souza, Wells, Lana, Williamson, Tyler, Wilms, Matthias, Wahid, Zaman, Ungrin, Mark, Gavrilova, Marina, Bento, Mariana
Artificial Intelligence (AI) has paved the way for revolutionary decision-making processes, which if harnessed appropriately, can contribute to advancements in various sectors, from healthcare to economics. However, its black box nature presents sign
Externí odkaz:
http://arxiv.org/abs/2408.15550
Publikováno v:
European Conference on Computer Vision (ECCV) Workshop on VISART, 2024
Accurately detecting and classifying damage in analogue media such as paintings, photographs, textiles, mosaics, and frescoes is essential for cultural heritage preservation. While machine learning models excel in correcting global degradation if the
Externí odkaz:
http://arxiv.org/abs/2408.12953
Integrating Electronic Health Records (EHR) and the application of machine learning present opportunities for enhancing the accuracy and accessibility of data-driven diabetes prediction. In particular, developing data-driven machine learning models c
Externí odkaz:
http://arxiv.org/abs/2408.12029
Equivariant neural networks are neural networks with symmetry. Motivated by the theory of group representations, we decompose the layers of an equivariant neural network into simple representations. The nonlinear activation functions lead to interest
Externí odkaz:
http://arxiv.org/abs/2408.00949