Zobrazeno 1 - 10
of 4 358
pro vyhledávání: '"Mattar, P."'
Autor:
Mineault, Patrick, Zanichelli, Niccolò, Peng, Joanne Zichen, Arkhipov, Anton, Bingham, Eli, Jara-Ettinger, Julian, Mackevicius, Emily, Marblestone, Adam, Mattar, Marcelo, Payne, Andrew, Sanborn, Sophia, Schroeder, Karen, Tavares, Zenna, Tolias, Andreas
As AI systems become increasingly powerful, the need for safe AI has become more pressing. Humans are an attractive model for AI safety: as the only known agents capable of general intelligence, they perform robustly even under conditions that deviat
Externí odkaz:
http://arxiv.org/abs/2411.18526
Autor:
Binz, Marcel, Akata, Elif, Bethge, Matthias, Brändle, Franziska, Callaway, Fred, Coda-Forno, Julian, Dayan, Peter, Demircan, Can, Eckstein, Maria K., Éltető, Noémi, Griffiths, Thomas L., Haridi, Susanne, Jagadish, Akshay K., Ji-An, Li, Kipnis, Alexander, Kumar, Sreejan, Ludwig, Tobias, Mathony, Marvin, Mattar, Marcelo, Modirshanechi, Alireza, Nath, Surabhi S., Peterson, Joshua C., Rmus, Milena, Russek, Evan M., Saanum, Tankred, Scharfenberg, Natalia, Schubert, Johannes A., Buschoff, Luca M. Schulze, Singhi, Nishad, Sui, Xin, Thalmann, Mirko, Theis, Fabian, Truong, Vuong, Udandarao, Vishaal, Voudouris, Konstantinos, Wilson, Robert, Witte, Kristin, Wu, Shuchen, Wulff, Dirk, Xiong, Huadong, Schulz, Eric
Establishing a unified theory of cognition has been a major goal of psychology. While there have been previous attempts to instantiate such theories by building computational models, we currently do not have one model that captures the human mind in
Externí odkaz:
http://arxiv.org/abs/2410.20268
In this paper, we take a new approach to autoregressive image generation that is based on two main ingredients. The first is wavelet image coding, which allows to tokenize the visual details of an image from coarse to fine details by ordering the inf
Externí odkaz:
http://arxiv.org/abs/2406.19997
Understanding connections between artificial and biological intelligent systems can reveal fundamental principles of general intelligence. While many artificial intelligence models have a neuroscience counterpart, such connections are largely missing
Externí odkaz:
http://arxiv.org/abs/2405.14992
Replay is a powerful strategy to promote learning in artificial intelligence and the brain. However, the conditions to generate it and its functional advantages have not been fully recognized. In this study, we develop a modular reinforcement learnin
Externí odkaz:
http://arxiv.org/abs/2402.01467
While advances in artificial intelligence and neuroscience have enabled the emergence of neural networks capable of learning a wide variety of tasks, our understanding of the temporal dynamics of these networks remains limited. Here, we study the tem
Externí odkaz:
http://arxiv.org/abs/2311.05862
Autor:
Yuliya Linhares, Cesar O. Freytes, Mohamad Cherry, Carlos Bachier, Michael Maris, Daanish Hoda, Juan C. Varela, Courtney Bellomo, Scott Cross, James Essell, Suzanne Fanning, Howard Terebelo, Habte Yimer, Jay Courtright, Jeff P. Sharman, Ana Kostic, Min Vedal, Ken Ogasawara, Ariel Avilion, Ricardo Espinola, Brenda Yuan, Bassam Mattar
Publikováno v:
Blood Advances, Vol 8, Iss 23, Pp 6114-6126 (2024)
Abstract: Lisocabtagene maraleucel (liso-cel) is an autologous, CD19-directed, 4-1BB chimeric antigen receptor (CAR) T-cell product approved for relapsed/refractory (R/R) large B-cell lymphoma (LBCL). We present the OUTREACH primary analysis, evaluat
Externí odkaz:
https://doaj.org/article/e923ecbad0974aaeba0317b2207c2726
Autor:
Yesica López, Ketty Galeano, Álvaro A. Faccini-Martínez, Sebastián Muñoz-Leal, Yeimi Lopez-Mejia, Marina Muñoz, Juan D. Ramírez, Camilo Guzman, Alfonso Calderon, Salim Mattar
Publikováno v:
Parasites & Vectors, Vol 17, Iss 1, Pp 1-7 (2024)
Abstract Background Bacteria of the genus Borrelia are agents of disease in both domestic animals and humans and pose a significant public health risk. Borrelia species have complex transmission cycles, often using rodents as vertebrate reservoir hos
Externí odkaz:
https://doaj.org/article/7b0ab5fab4844ab495a6ebffb274dffd
Autor:
Owais Ali Wani, Syed Sheraz Mahdi, Md. Yeasin, Shamal Shasang Kumar, Alexandre S. Gagnon, Faizan Danish, Nadhir Al-Ansari, Salah El‑Hendawy, Mohamed A. Mattar
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Predicting rainfall is a challenging and critical task due to its significant impact on society. Timely and accurate predictions are essential for minimizing human and financial losses. The dependence of approximately 60% of agricultural lan
Externí odkaz:
https://doaj.org/article/4ccd2c8d31ad48f1b0b71b1e87c62c04
Autor:
Kalpana Choudhary, J. Singh, N. K. Meena, Nadhir Al-Ansari, Sonali Choudhary, Ravindra Kumar Tiwari, Mahendra Choudhary, Dinesh Kumar Vishwakarma, Salah El-Hendawy, Mohamed A. Mattar
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Day-by-day increasing irrigation water scarcity requires the application of water-saving irrigation techniques to sustain agriculture production. A two-year field investigation was conducted during 2018 to 2020 to determine the effects of va
Externí odkaz:
https://doaj.org/article/ae9098c2fac64741a44c37c1ca9e211d