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pro vyhledávání: '"Shakir AS"'
The applicability domain refers to the range of data for which the prediction of the predictive model is expected to be reliable and accurate and using a model outside its applicability domain can lead to incorrect results. The ability to define the
Externí odkaz:
http://arxiv.org/abs/2411.00920
The surge of digital documents in various formats, including less standardized documents such as business reports and environmental assessments, underscores the growing importance of Document Understanding. While Large Language Models (LLMs) have sho
Externí odkaz:
http://arxiv.org/abs/2409.11282
This paper investigates how generative AI can potentially undermine the integrity of collective knowledge and the processes we rely on to acquire, assess, and trust information, posing a significant threat to our knowledge ecosystem and democratic di
Externí odkaz:
http://arxiv.org/abs/2408.11441
BM25, a widely-used lexical search algorithm, remains crucial in information retrieval despite the rise of pre-trained and large language models (PLMs/LLMs). However, it neglects query-document similarity and lacks semantic understanding, limiting it
Externí odkaz:
http://arxiv.org/abs/2408.06643
Autor:
Mirowski, Piotr, Warde-Farley, David, Rosca, Mihaela, Grimes, Matthew Koichi, Hasson, Yana, Kim, Hyunjik, Rey, Mélanie, Osindero, Simon, Ravuri, Suman, Mohamed, Shakir
Atmospheric states derived from reanalysis comprise a substantial portion of weather and climate simulation outputs. Many stakeholders -- such as researchers, policy makers, and insurers -- use this data to better understand the earth system and guid
Externí odkaz:
http://arxiv.org/abs/2407.11666
Autor:
Sofi, Shakir Showkat, Munieeb, Mosaib Ul, Bashir, Fazil, Hassan, Munieeb Ul, Nahvi, Shahkar Ahmad
Publikováno v:
Franklin Open, 2024
Lagrangian modelling can be used to derive mathematical models for complex power electronic converters. This approach uses scalar quantities (kinetic and potential energy) to derive models, which is simpler than using (vector-based) force balance equ
Externí odkaz:
http://arxiv.org/abs/2406.09826
We interviewed twenty professional comedians who perform live shows in front of audiences and who use artificial intelligence in their artistic process as part of 3-hour workshops on ``AI x Comedy'' conducted at the Edinburgh Festival Fringe in Augus
Externí odkaz:
http://arxiv.org/abs/2405.20956
Autor:
Shakir, Hafiz Muhammad, Suleiman, Abdulsalam Aji, Kalkan, Kübra Nur, Parsi, Amir, Başçı, Uğur, Durmuş, Mehmet Atıf, Ölçer, Ahmet Osman, Korkut, Hilal, Sevik, Cem, Sarpkaya, İbrahim, Kasırga, Talip Serkan
Excitons in monolayer transition metal dichalcogenides (TMDCs) offer intriguing new possibilities for optoelectronics with no analogues in bulk semiconductors. Yet, intrinsic defects in TMDCs limit the radiative exciton recombination pathways. As a r
Externí odkaz:
http://arxiv.org/abs/2405.20636
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:
Agnew, William, Bergman, A. Stevie, Chien, Jennifer, Díaz, Mark, El-Sayed, Seliem, Pittman, Jaylen, Mohamed, Shakir, McKee, Kevin R.
Human participants play a central role in the development of modern artificial intelligence (AI) technology, in psychological science, and in user research. Recent advances in generative AI have attracted growing interest to the possibility of replac
Externí odkaz:
http://arxiv.org/abs/2401.08572