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pro vyhledávání: '"Enger A"'
Generative AI tools, including the popular ChatGPT, have made a clear mark on discourses related to future work and education practices. Previous research in science education has highlighted the potential for generative AI in various education-relat
Externí odkaz:
http://arxiv.org/abs/2412.11300
Autor:
Quetin, Sébastien, Heschl, Andrew, Murillo, Mauricio, Murali, Rohit, Enger, Shirin A., Maleki, Farhad
Background and purpose: Deep Learning (DL) has been widely explored for Organs at Risk (OARs) segmentation; however, most studies have focused on a single modality, either CT or MRI, not both simultaneously. This study presents a high-performing DL p
Externí odkaz:
http://arxiv.org/abs/2405.10833
Autor:
Gabriel, Iason, Manzini, Arianna, Keeling, Geoff, Hendricks, Lisa Anne, Rieser, Verena, Iqbal, Hasan, Tomašev, Nenad, Ktena, Ira, Kenton, Zachary, Rodriguez, Mikel, El-Sayed, Seliem, Brown, Sasha, Akbulut, Canfer, Trask, Andrew, Hughes, Edward, Bergman, A. Stevie, Shelby, Renee, Marchal, Nahema, Griffin, Conor, Mateos-Garcia, Juan, Weidinger, Laura, Street, Winnie, Lange, Benjamin, Ingerman, Alex, Lentz, Alison, Enger, Reed, Barakat, Andrew, Krakovna, Victoria, Siy, John Oliver, Kurth-Nelson, Zeb, McCroskery, Amanda, Bolina, Vijay, Law, Harry, Shanahan, Murray, Alberts, Lize, Balle, Borja, de Haas, Sarah, Ibitoye, Yetunde, Dafoe, Allan, Goldberg, Beth, Krier, Sébastien, Reese, Alexander, Witherspoon, Sims, Hawkins, Will, Rauh, Maribeth, Wallace, Don, Franklin, Matija, Goldstein, Josh A., Lehman, Joel, Klenk, Michael, Vallor, Shannon, Biles, Courtney, Morris, Meredith Ringel, King, Helen, Arcas, Blaise Agüera y, Isaac, William, Manyika, James
This paper focuses on the opportunities and the ethical and societal risks posed by advanced AI assistants. We define advanced AI assistants as artificial agents with natural language interfaces, whose function is to plan and execute sequences of act
Externí odkaz:
http://arxiv.org/abs/2404.16244
Autor:
Rodrigues-Machado, Fernanda C., Janitz, Erika, Bernard, Simon, Bekerat, Hamed, McEwen, Malcolm, Renaud, James, Enger, Shirin A., Childress, Lilian, Sankey, Jack C.
High-finesse microcavities offer a platform for compact, high-precision sensing by employing high-reflectivity, low-loss mirrors to create effective optical path lengths that are orders of magnitude larger than the device geometry. Here, we investiga
Externí odkaz:
http://arxiv.org/abs/2404.08787
We investigate the climatic effects of volcanic eruptions spanning from Mt.\ Pinatubo-sized events to super-volcanoes. The study is based on ensemble simulations in the Community Earth System Model Version 2 (CESM2) climate model using the Whole Atmo
Externí odkaz:
http://arxiv.org/abs/2404.01675
Autor:
Sevyeri, Laya Rafiee, Sheth, Ivaxi, Farahnak, Farhood, Kahou, Samira Ebrahimi, Enger, Shirin Abbasinejad
Advancements in deep learning techniques have given a boost to the performance of anomaly detection. However, real-world and safety-critical applications demand a level of transparency and reasoning beyond accuracy. The task of anomaly detection (AD)
Externí odkaz:
http://arxiv.org/abs/2310.10702
Publikováno v:
BMC Musculoskeletal Disorders, Vol 25, Iss 1, Pp 1-10 (2024)
Abstract Background Patients surgically treated for lumbar spinal stenosis or cervical radiculopathy report improvement in approximately two out of three cases. Advancements in Machine Learning and the utility of large datasets have enabled the devel
Externí odkaz:
https://doaj.org/article/302b20f6851c4e678f95a8b100c274cd
Publikováno v:
Phys. Teach. 61(9), 762-765 (2023)
Nobel laureate Wolfgang Paul showed, back in the 1950s, that charged particles can be trapped using alternating electric fields. This technique is commonly referred to as Paul traps or radiofrequency traps (RF-traps) and is used in various areas of m
Externí odkaz:
http://arxiv.org/abs/2303.08194
Autor:
Gammariello, C.S., Hanson, J., Relling, A.E., Oliveira, M.X.S., Sipka, A.S., Enger, K.M., Enger, B.D. *
Publikováno v:
In Journal of Dairy Science August 2024 107(8):6148-6160
Autor:
Wells, Megan, Hoffmann, Jan, Stage, Autumn, Enger, Isabella, Pomper, Jayme, Briggs, Lily, LaCrosse, Amber ∗
Publikováno v:
In The Journal of Pharmacology and Experimental Therapeutics January 2025 392(1)