Zobrazeno 1 - 10
of 42 631
pro vyhledávání: '"An, Kevin R."'
Autor:
Kunder, Andrea, Prudil, Zdenek, Skaggs, Claire, Reggiani, Henrique, Nataf, David M., Hughes, Joanne, Covey, Kevin R., Devine, Kathryn
RR Lyrae stars are excellent tracers of stellar populations for old, metal-poor components in the Milky Way Galaxy and the Local Group. Their luminosities have a metallicity-dependence, but determining spectroscopic [Fe/H] metallicities for RR Lyrae
Externí odkaz:
http://arxiv.org/abs/2407.01515
Autor:
Jaugstetter, Maximilian, Qi, Xiao, Chan, Emory, Salmeron, Miquel, Wilson, Kevin R., Nemšák, Slavomír, Bluhm, Hendrik
Functionalization and volatilization are competing reactions during the oxidation of carbonaceous materials and are important processes in many different areas of science and technology. Here we present a combined ambient pressure X-ray photoelectron
Externí odkaz:
http://arxiv.org/abs/2407.00598
Autor:
Chien, Jennifer, Bergman, A. Stevie, McKee, Kevin R., Tomasev, Nenad, Prabhakaran, Vinodkumar, Qadri, Rida, Marchal, Nahema, Isaac, William
Algorithmic fairness has emerged as a critical concern in artificial intelligence (AI) research. However, the development of fair AI systems is not an objective process. Fairness is an inherently subjective concept, shaped by the values, experiences,
Externí odkaz:
http://arxiv.org/abs/2407.16895
The value of supervised dimensionality reduction lies in its ability to uncover meaningful connections between data features and labels. Common dimensionality reduction methods embed a set of fixed, latent points, but are not capable of generalizing
Externí odkaz:
http://arxiv.org/abs/2406.04421
Data visualization via dimensionality reduction is an important tool in exploratory data analysis. However, when the data are noisy, many existing methods fail to capture the underlying structure of the data. The method called Empirical Intrinsic Geo
Externí odkaz:
http://arxiv.org/abs/2406.03396
Symmetry detection has been shown to improve various machine learning tasks. In the context of continuous symmetry detection, current state of the art experiments are limited to the detection of affine transformations. Under the manifold assumption,
Externí odkaz:
http://arxiv.org/abs/2406.03619
Traditionally, cognitive and computer scientists have viewed intelligence solipsistically, as a property of unitary agents devoid of social context. Given the success of contemporary learning algorithms, we argue that the bottleneck in artificial int
Externí odkaz:
http://arxiv.org/abs/2405.15815
Autor:
Jurenka, Irina, Kunesch, Markus, McKee, Kevin R., Gillick, Daniel, Zhu, Shaojian, Wiltberger, Sara, Phal, Shubham Milind, Hermann, Katherine, Kasenberg, Daniel, Bhoopchand, Avishkar, Anand, Ankit, Pîslar, Miruna, Chan, Stephanie, Wang, Lisa, She, Jennifer, Mahmoudieh, Parsa, Rysbek, Aliya, Ko, Wei-Jen, Huber, Andrea, Wiltshire, Brett, Elidan, Gal, Rabin, Roni, Rubinovitz, Jasmin, Pitaru, Amit, McAllister, Mac, Wilkowski, Julia, Choi, David, Engelberg, Roee, Hackmon, Lidan, Levin, Adva, Griffin, Rachel, Sears, Michael, Bar, Filip, Mesar, Mia, Jabbour, Mana, Chaudhry, Arslan, Cohan, James, Thiagarajan, Sridhar, Levine, Nir, Brown, Ben, Gorur, Dilan, Grant, Svetlana, Hashimshoni, Rachel, Weidinger, Laura, Hu, Jieru, Chen, Dawn, Dolecki, Kuba, Akbulut, Canfer, Bileschi, Maxwell, Culp, Laura, Dong, Wen-Xin, Marchal, Nahema, Van Deman, Kelsie, Misra, Hema Bajaj, Duah, Michael, Ambar, Moran, Caciularu, Avi, Lefdal, Sandra, Summerfield, Chris, An, James, Kamienny, Pierre-Alexandre, Mohdi, Abhinit, Strinopoulous, Theofilos, Hale, Annie, Anderson, Wayne, Cobo, Luis C., Efron, Niv, Ananda, Muktha, Mohamed, Shakir, Heymans, Maureen, Ghahramani, Zoubin, Matias, Yossi, Gomes, Ben, Ibrahim, Lila
A major challenge facing the world is the provision of equitable and universal access to quality education. Recent advances in generative AI (gen AI) have created excitement about the potential of new technologies to offer a personal tutor for every
Externí odkaz:
http://arxiv.org/abs/2407.12687
Autor:
Sarkar, Adrisha, Jones, Zachary, Parashar, Madhur, Druga, Emanuel, Akkiraju, Amala, Conti, Sophie, Krishnamoorthi, Pranav, Nachuri, Srisai, Aman, Parker, Hashemi, Mohammad, Nunn, Nicholas, Torelli, Marco, Gilbert, Benjamin, Wilson, Kevin R., Shenderova, Olga, Tanjore, Deepti, Ajoy, Ashok
We report on a novel flow-based method for high-precision chemical detection that integrates quantum sensing with droplet microfluidics. We deploy nanodiamond particles hosting fluorescent nitrogen vacancy defects as quantum sensors in flowing, monod
Externí odkaz:
http://arxiv.org/abs/2404.19313
Autor:
Sheldon, Jennifer, Zhu, Weidong, Abdullah, Adnan, Bhupathiraju, Sri Hrushikesh Varma, Sugawara, Takeshi, Butler, Kevin R. B., Islam, Md Jahidul, Rampazzi, Sara
Underwater datacenters (UDCs) hold promise as next-generation data storage due to their energy efficiency and environmental sustainability benefits. While the natural cooling properties of water save power, the isolated aquatic environment and long-r
Externí odkaz:
http://arxiv.org/abs/2404.11815