Zobrazeno 1 - 10
of 26 239
pro vyhledávání: '"Alotaibi, A"'
Autor:
Prabhushankar, Mohit, Kokilepersaud, Kiran, Quesada, Jorge, Yarici, Yavuz, Zhou, Chen, Alotaibi, Mohammad, AlRegib, Ghassan, Mustafa, Ahmad, Kumakov, Yusufjon
Crowdsourcing annotations has created a paradigm shift in the availability of labeled data for machine learning. Availability of large datasets has accelerated progress in common knowledge applications involving visual and language data. However, spe
Externí odkaz:
http://arxiv.org/abs/2408.11185
Autor:
Alotaibi, Omar, Mark, Brian L.
We present a novel filtering algorithm that employs Bayesian transfer learning to address the challenges posed by mismatched intensity of the noise in a pair of sensors, each of which tracks an object using a nonlinear dynamic system model. In this s
Externí odkaz:
http://arxiv.org/abs/2408.07157
Autor:
Bari, M Saiful, Alnumay, Yazeed, Alzahrani, Norah A., Alotaibi, Nouf M., Alyahya, Hisham A., AlRashed, Sultan, Mirza, Faisal A., Alsubaie, Shaykhah Z., Alahmed, Hassan A., Alabduljabbar, Ghadah, Alkhathran, Raghad, Almushayqih, Yousef, Alnajim, Raneem, Alsubaihi, Salman, Mansour, Maryam Al, Alrubaian, Majed, Alammari, Ali, Alawami, Zaki, Al-Thubaity, Abdulmohsen, Abdelali, Ahmed, Kuriakose, Jeril, Abujabal, Abdalghani, Al-Twairesh, Nora, Alowisheq, Areeb, Khan, Haidar
We present ALLaM: Arabic Large Language Model, a series of large language models to support the ecosystem of Arabic Language Technologies (ALT). ALLaM is carefully trained considering the values of language alignment and knowledge transfer at scale.
Externí odkaz:
http://arxiv.org/abs/2407.15390
With the proliferation of edge devices, there is a significant increase in attack surface on these devices. The decentralized deployment of threat intelligence on edge devices, coupled with adaptive machine learning techniques such as the in-context
Externí odkaz:
http://arxiv.org/abs/2405.08755
Autor:
Zhu, Yiwen, Tian, Yuanyuan, Cahoon, Joyce, Krishnan, Subru, Agarwal, Ankita, Alotaibi, Rana, Camacho-Rodríguez, Jesús, Chundatt, Bibin, Chung, Andrew, Dutta, Niharika, Fogarty, Andrew, Gruenheid, Anja, Haynes, Brandon, Interlandi, Matteo, Iyer, Minu, Jurgens, Nick, Khushalani, Sumeet, Kroth, Brian, Kumar, Manoj, Leeka, Jyoti, Matusevych, Sergiy, Mittal, Minni, Mueller, Andreas, Muthyala, Kartheek, Nagulapalli, Harsha, Park, Yoonjae, Patel, Hiren, Pavlenko, Anna, Poppe, Olga, Ravindran, Santhosh, Saur, Karla, Sen, Rathijit, Suh, Steve, Tarafdar, Arijit, Waghray, Kunal, Wang, Demin, Curino, Carlo, Ramakrishnan, Raghu
Modern cloud has turned data services into easily accessible commodities. With just a few clicks, users are now able to access a catalog of data processing systems for a wide range of tasks. However, the cloud brings in both complexity and opportunit
Externí odkaz:
http://arxiv.org/abs/2405.01813
Autor:
Silaghi, Viorel, Alssadi, Zobaida, Mathew, Ben, Alotaibi, Majed, Alqarni, Ali, Silaghi, Marius
Public availability of Artificial Intelligence generated information can change the markets forever, and its factoring into economical dynamics may take economists by surprise, out-dating models and schools of thought. Real estate hyper-inflation is
Externí odkaz:
http://arxiv.org/abs/2405.18434
Autor:
Alzahrani, Norah, Alyahya, Hisham Abdullah, Alnumay, Yazeed, Alrashed, Sultan, Alsubaie, Shaykhah, Almushaykeh, Yusef, Mirza, Faisal, Alotaibi, Nouf, Altwairesh, Nora, Alowisheq, Areeb, Bari, M Saiful, Khan, Haidar
Large Language Model (LLM) leaderboards based on benchmark rankings are regularly used to guide practitioners in model selection. Often, the published leaderboard rankings are taken at face value - we show this is a (potentially costly) mistake. Unde
Externí odkaz:
http://arxiv.org/abs/2402.01781
Autor:
Khan, Arif Ali, Akbar, Muhammad Azeem, Lahtinen, Valtteri, Paavola, Marko, Niazi, Mahmood, Alatawi, Mohammed Naif, Alotaibi, Shoayee Dlaim
Context: Quantum software systems represent a new realm in software engineering, utilizing quantum bits (Qubits) and quantum gates (Qgates) to solve the complex problems more efficiently than classical counterparts . Agile software development approa
Externí odkaz:
http://arxiv.org/abs/2401.08151
Autor:
Huang, Hanxian, Siddiqui, Tarique, Alotaibi, Rana, Curino, Carlo, Leeka, Jyoti, Jindal, Alekh, Zhao, Jishen, Camacho-Rodriguez, Jesus, Tian, Yuanyuan
Database systems often rely on historical query traces to perform workload-based performance tuning. However, real production workloads are time-evolving, making historical queries ineffective for optimizing future workloads. To address this challeng
Externí odkaz:
http://arxiv.org/abs/2401.03723
Publikováno v:
Proceedings of the ACM on Management of Data (2024) Volume 1 Issue 4
Large scale analytics engines have become a core dependency for modern data-driven enterprises to derive business insights and drive actions. These engines support a large number of analytic jobs processing huge volumes of data on a daily basis, and
Externí odkaz:
http://arxiv.org/abs/2401.01280