Zobrazeno 1 - 10
of 82 340
pro vyhledávání: '"Vikram Are"'
Autor:
Lewington, Aiden, Vittalam, Alekhya, Singh, Anshumaan, Uppuluri, Anuja, Ashok, Arjun, Athmaram, Ashrith Mandayam, Milt, Austin, Smith, Benjamin, Weinberger, Charlie, Sarin, Chatanya, Bergmeir, Christoph, Chang, Cliff, Patel, Daivik, Li, Daniel, Bell, David, Cao, Defu, Shin, Donghwa, Kang, Edward, Zhang, Edwin, Li, Enhui, Chen, Felix, Smithline, Gabe, Chen, Haipeng, Gasztowtt, Henry, Shin, Hoon, Zhang, Jiayun, Gray, Joshua, Low, Khai Hern, Patel, Kishan, Cooke, Lauren Hannah, Burstein, Marco, Kalapatapu, Maya, Mittal, Mitali, Chen, Raymond, Zhao, Rosie, Majid, Sameen, Potlapalli, Samya, Wang, Shang, Patel, Shrenik, Li, Shuheng, Komaragiri, Siva, Lu, Song, Siangjaeo, Sorawit, Jung, Sunghoo, Zhang, Tianyu, Mao, Valery, Krishnakumar, Vikram, Zhu, Vincent, Kam, Wesley, Li, Xingzhe, Liu, Yumeng
Advances in artificial intelligence (AI) present significant risks and opportunities, requiring improved governance to mitigate societal harms and promote equitable benefits. Current incentive structures and regulatory delays may hinder responsible A
Externí odkaz:
http://arxiv.org/abs/2412.06936
Autor:
Baer-Way, Raphael, Chandra, Poonam, Modjaz, Maryam, Kumar, Sahana, Pellegrino, Craig, Chevalier, Roger, Crawford, Adrian, Sarangi, Arkaprabha, Smith, Nathan, Maeda, Keiichi, Nayana, A. J., Filippenko, Alexei V., Andrews, Jennifer E., Arcavi, Iair, Bostroem, K. Azalee, Brink, Thomas G., Dong, Yize, Dwarkadas, Vikram, Farah, Joseph R., Howell, D. Andrew, Hiramatsu, Daichi, Hosseinzadeh, Griffin, McCully, Curtis, Meza, Nicolas, Newsome, Megan, Gonzalez, Estefania Padilla, Pearson, Jeniveve, Sand, David J., Shrestha, Manisha, Terreran, Giacomo, Valenti, Stefano, Wyatt, Samuel, Yang, Yi, Zheng, WeiKang
While the subclass of interacting supernovae with narrow hydrogen emission lines (SNe IIn) consists of some of the longest-lasting and brightest SNe ever discovered, their progenitors are still not well understood. Investigating SNe IIn as they emit
Externí odkaz:
http://arxiv.org/abs/2412.06914
Autor:
Jain, Rakshit, Roddy, Matthew, Gupta, Vishakha, Huang, Benjamin, Sayeed, Hasan M., Alnaser, Husain F., Vashist, Amit, Watanabe, Kenji, Taniguchi, Takashi, Deshpande, Vikram V., Sparks, Taylor D., Ralph, Daniel C.
Quantized anomalous Hall effects (QAHEs) occur in remarkable electronic states which possess not only quantized Hall signals but in some cases regions of dissipationless electron transport. The initial demonstrations of a QAHE in a magnetically-doped
Externí odkaz:
http://arxiv.org/abs/2412.05380
Gapped commensurate antiferromagnetic response in a strongly underdoped model cuprate superconductor
Autor:
Anderson, Zachary W., Tang, Yang, Nagarajan, Vikram, Chan, Mun K., Dorow, Chelsey J., Yu, Guichuan, Abernathy, Douglas L., Christianson, Andrew D., Mangin-Thro, Lucile, Steffens, Paul, Sterling, Tyler, Reznik, Dmitry, Bounoua, Dalila, Sidis, Yvan, Bourges, Philippe, Greven, Martin
It is a distinct possibility that spin fluctuations are the pairing interactions in a wide range of unconventional superconductors. In the case of the high-transition-temperature (high-$T_c$) cuprates, in which superconductivity emerges upon doping a
Externí odkaz:
http://arxiv.org/abs/2412.03524
Autor:
Gao, Mingye, Varshney, Aman, Chen, Shan, Goddla, Vikram, Gallifant, Jack, Doyle, Patrick, Novack, Claire, Dillon-Martin, Maeve, Perkins, Teresia, Correia, Xinrong, Duhaime, Erik, Isenstein, Howard, Sharon, Elad, Lehmann, Lisa Soleymani, Kozono, David, Anthony, Brian, Dligach, Dmitriy, Bitterman, Danielle S.
Cancer clinical trials often face challenges in recruitment and engagement due to a lack of participant-facing informational and educational resources. This study investigated the potential of Large Language Models (LLMs), specifically GPT4, in gener
Externí odkaz:
http://arxiv.org/abs/2412.01955
Autor:
Soriano, Jonathan, Saikrishnan, Srinath, Seenivasan, Vikram, Boscoe, Bernie, Singal, Jack, Do, Tuan
In this work, we explore methods to improve galaxy redshift predictions by combining different ground truths. Traditional machine learning models rely on training sets with known spectroscopic redshifts, which are precise but only represent a limited
Externí odkaz:
http://arxiv.org/abs/2411.18054
Publikováno v:
Physical Review B 110, 195305 (2024)
Two-dimensional silicon carbide stands out among 2D materials, primarily due to its notable band gap, unlike its carbon-based counterparts. However, the binary nature and non-layered structure of bulk SiC present challenges in fabricating its 2D coun
Externí odkaz:
http://arxiv.org/abs/2411.16520
The palindromic automorphism group is a subgroup of the automorphism group $Aut(F_3).$ We establish a necessary and sufficient condition for a matrix in $GL_n(\mathbb{Z})$ representing a palindromic automorphism of $F_n.$ We prove that the number of
Externí odkaz:
http://arxiv.org/abs/2411.15547
Thermal Hall transport has emerged as a valuable tool for probing the fractionalized excitations in chiral quantum spin liquids. Observing quantized thermal Hall response, expected at temperatures below the spectral gap, has been challenging and cont
Externí odkaz:
http://arxiv.org/abs/2411.15304
Autor:
Chen, Deming, Youssef, Alaa, Pendse, Ruchi, Schleife, André, Clark, Bryan K., Hamann, Hendrik, He, Jingrui, Laino, Teodoro, Varshney, Lav, Wang, Yuxiong, Sil, Avirup, Jabbarvand, Reyhaneh, Xu, Tianyin, Kindratenko, Volodymyr, Costa, Carlos, Adve, Sarita, Mendis, Charith, Zhang, Minjia, Núñez-Corrales, Santiago, Ganti, Raghu, Srivatsa, Mudhakar, Kim, Nam Sung, Torrellas, Josep, Huang, Jian, Seelam, Seetharami, Nahrstedt, Klara, Abdelzaher, Tarek, Eilam, Tamar, Zhao, Huimin, Manica, Matteo, Iyer, Ravishankar, Hirzel, Martin, Adve, Vikram, Marinov, Darko, Franke, Hubertus, Tong, Hanghang, Ainsworth, Elizabeth, Zhao, Han, Vasisht, Deepak, Do, Minh, Oliveira, Fabio, Pacifici, Giovanni, Puri, Ruchir, Nagpurkar, Priya
This white paper, developed through close collaboration between IBM Research and UIUC researchers within the IIDAI Institute, envisions transforming hybrid cloud systems to meet the growing complexity of AI workloads through innovative, full-stack co
Externí odkaz:
http://arxiv.org/abs/2411.13239