Zobrazeno 1 - 10
of 203 325
pro vyhledávání: '"Nair As"'
Publikováno v:
Drug Design, Development and Therapy, Vol Volume 18, Pp 3295-3313 (2024)
Aathira Sujathan Nair,1 Mahendran Sekar,1 Siew Hua Gan,1 Vinoth Kumarasamy,2 Vetriselvan Subramaniyan,3 Yuan Seng Wu,4 Nur Najihah Izzati Mat Rani,5 Subban Ravi,6 Ling Shing Wong7 1School of Pharmacy, Monash University Malaysia, Bandar Sunway, Subang
Externí odkaz:
https://doaj.org/article/5a0d2cc7724c405188b7c5e1819d2c73
Autor:
Black, Kevin, Brown, Noah, Driess, Danny, Esmail, Adnan, Equi, Michael, Finn, Chelsea, Fusai, Niccolo, Groom, Lachy, Hausman, Karol, Ichter, Brian, Jakubczak, Szymon, Jones, Tim, Ke, Liyiming, Levine, Sergey, Li-Bell, Adrian, Mothukuri, Mohith, Nair, Suraj, Pertsch, Karl, Shi, Lucy Xiaoyang, Tanner, James, Vuong, Quan, Walling, Anna, Wang, Haohuan, Zhilinsky, Ury
Robot learning holds tremendous promise to unlock the full potential of flexible, general, and dexterous robot systems, as well as to address some of the deepest questions in artificial intelligence. However, bringing robot learning to the level of g
Externí odkaz:
http://arxiv.org/abs/2410.24164
Autor:
Nair, Pradeep R.
Recent reports indicate that perovskite based light emitting diodes (LEDs) have achieved an external quantum efficiency (EQE) of 32% - rather an internal quantum efficiency close to 100%. Much of this improved performance is attributed to the role of
Externí odkaz:
http://arxiv.org/abs/2410.22879
Autor:
Hatch, Kyle B., Balakrishna, Ashwin, Mees, Oier, Nair, Suraj, Park, Seohong, Wulfe, Blake, Itkina, Masha, Eysenbach, Benjamin, Levine, Sergey, Kollar, Thomas, Burchfiel, Benjamin
Image and video generative models that are pre-trained on Internet-scale data can greatly increase the generalization capacity of robot learning systems. These models can function as high-level planners, generating intermediate subgoals for low-level
Externí odkaz:
http://arxiv.org/abs/2410.20018
Autor:
Corgan, Johnathan, Nair, Nitin, Bhattacharjea, Rajib, Liu, Wan, Tadik, Serhat, Tsou, Tom, O'Shea, Timothy J.
In this paper, we consider the importance of channel measurement data from specific sites and its impact on air interface optimization and test. Currently, a range of statistical channel models including 3GPP 38.901 tapped delay line (TDL), clustered
Externí odkaz:
http://arxiv.org/abs/2410.19565
In today's machine learning world for tabular data, XGBoost and fully connected neural network (FCNN) are two most popular methods due to their good model performance and convenience to use. However, they are highly complicated, hard to interpret, an
Externí odkaz:
http://arxiv.org/abs/2410.19154
Humans develop their grammars by making structural generalizations from finite input. We ask how filler-gap dependencies, which share a structural generalization despite diverse surface forms, might arise from the input. We explicitly control the inp
Externí odkaz:
http://arxiv.org/abs/2410.18225
In recent times, extracting valuable information from large text is making significant progress. Especially in the current era of social media, people expect quick bites of information. Automatic text summarization seeks to tackle this by slimming la
Externí odkaz:
http://arxiv.org/abs/2410.16842
Autor:
George, Hubert C., Mądzik, Mateusz T., Henry, Eric M., Wagner, Andrew J., Islam, Mohammad M., Borjans, Felix, Connors, Elliot J., Corrigan, Joelle, Curry, Matthew, Harper, Michael K., Keith, Daniel, Lampert, Lester, Luthi, Florian, Mohiyaddin, Fahd A., Murcia, Sandra, Nair, Rohit, Nahm, Rambert, Nethwewala, Aditi, Neyens, Samuel, Raharjo, Roy D., Rogan, Carly, Savytskyy, Rostyslav, Watson, Thomas F., Ziegler, Josh, Zietz, Otto K., Pillarisetty, Ravi, Bishop, Nathaniel C., Bojarski, Stephanie A., Roberts, Jeanette, Clarke, James S.
Intels efforts to build a practical quantum computer are focused on developing a scalable spin-qubit platform leveraging industrial high-volume semiconductor manufacturing expertise and 300 mm fabrication infrastructure. Here, we provide an overview
Externí odkaz:
http://arxiv.org/abs/2410.16583
We present a systematic evaluation of large language models' sensitivity to argument roles, i.e., who did what to whom, by replicating psycholinguistic studies on human argument role processing. In three experiments, we find that language models are
Externí odkaz:
http://arxiv.org/abs/2410.16139