Zobrazeno 1 - 10
of 25 632
pro vyhledávání: '"ENGLER, A"'
Autor:
Haider, Emman, Perez-Becker, Daniel, Portet, Thomas, Madan, Piyush, Garg, Amit, Majercak, David, Wen, Wen, Kim, Dongwoo, Yang, Ziyi, Zhang, Jianwen, Sharma, Hiteshi, Bullwinkel, Blake, Pouliot, Martin, Minnich, Amanda, Chawla, Shiven, Herrera, Solianna, Warreth, Shahed, Engler, Maggie, Lopez, Gary, Chikanov, Nina, Dheekonda, Raja Sekhar Rao, Jagdagdorj, Bolor-Erdene, Lutz, Roman, Lundeen, Richard, Westerhoff, Tori, Bryan, Pete, Seifert, Christian, Kumar, Ram Shankar Siva, Berkley, Andrew, Kessler, Alex
Recent innovations in language model training have demonstrated that it is possible to create highly performant models that are small enough to run on a smartphone. As these models are deployed in an increasing number of domains, it is critical to en
Externí odkaz:
http://arxiv.org/abs/2407.13833
Autor:
Jacobs, Ryan, Schultz, Lane E., Scourtas, Aristana, Schmidt, KJ, Price-Skelly, Owen, Engler, Will, Foster, Ian, Blaiszik, Ben, Voyles, Paul M., Morgan, Dane
One compelling vision of the future of materials discovery and design involves the use of machine learning (ML) models to predict materials properties and then rapidly find materials tailored for specific applications. However, realizing this vision
Externí odkaz:
http://arxiv.org/abs/2406.15650
Despite considerable progress in developing artificial intelligence (AI) algorithms for prostate cancer detection from whole slide images, the clinical applicability of these models remains limited due to variability in pathological annotations and e
Externí odkaz:
http://arxiv.org/abs/2406.06801
Autor:
Tschudi, C., Schmid, H. M., Nowak, M., Coroller, H. Le, Hunziker, S., van Holstein, R. G., Perrot, C., Mouillet, D., Augereau, J. -C., Bazzon, A., Beuzit, J. L., Boccaletti, A., Bonse, M. J., Chauvin, G., Desidera, S., Dohlen, K., Dominik, C., Engler, N., Feldt, M., Girard, J. H., Gratton, R., Henning, Th., Kasper, M., Kervella, P., Lagrange, A. -M., Langlois, M., Martinez, P., Ménard, F., Meyer, M. R., Milli, J., Pragt, J., Puget, P., Quanz, S. P., Roelfsema, R., Sauvage, J. -F., Szulagyi, J., Thalmann, Ch., Zurlo, A.
We carried out very deep VLT/SPHERE imaging polarimetry of the nearby system Eps Eri based on 38.5 hours of integration time with a 600 - 900 nm broadband filter to search for polarized scattered light from a planet or from circumstellar dust using A
Externí odkaz:
http://arxiv.org/abs/2404.19504
Autor:
Ginski, C., Garufi, A., Benisty, M., Tazaki, R., Dominik, C., Ribas, A., Engler, N., Birnstiel, T., Chauvin, G., Columba, G., Facchini, S., Goncharov, A., Hagelberg, J., Henning, T., Hogerheijde, M., van Holstein, R. G., Huang, J., Muto, T., Pinilla, P., Kanagawa, K., Kim, S., Kurtovic, N., Langlois, M., Manara, C., Milli, J., Momose, M., Orihara, R., Pawellek, N., Pinte, C., Rab, C., Schmidt, T. O. B., Snik, F., Wahhaj, Z., Williams, J., Zurlo, A.
We used VLT/SPHERE to observe 20 systems in the Cha I cloud in polarized scattered light in the near-infrared. We combined the scattered light observations with existing literature data on stellar properties and with archival ALMA continuum data to s
Externí odkaz:
http://arxiv.org/abs/2403.02149
Autor:
Kapoor, Sayash, Bommasani, Rishi, Klyman, Kevin, Longpre, Shayne, Ramaswami, Ashwin, Cihon, Peter, Hopkins, Aspen, Bankston, Kevin, Biderman, Stella, Bogen, Miranda, Chowdhury, Rumman, Engler, Alex, Henderson, Peter, Jernite, Yacine, Lazar, Seth, Maffulli, Stefano, Nelson, Alondra, Pineau, Joelle, Skowron, Aviya, Song, Dawn, Storchan, Victor, Zhang, Daniel, Ho, Daniel E., Liang, Percy, Narayanan, Arvind
Foundation models are powerful technologies: how they are released publicly directly shapes their societal impact. In this position paper, we focus on open foundation models, defined here as those with broadly available model weights (e.g. Llama 2, S
Externí odkaz:
http://arxiv.org/abs/2403.07918
Autor:
Hudson, Nathaniel, Pauloski, J. Gregory, Baughman, Matt, Kamatar, Alok, Sakarvadia, Mansi, Ward, Logan, Chard, Ryan, Bauer, André, Levental, Maksim, Wang, Wenyi, Engler, Will, Skelly, Owen Price, Blaiszik, Ben, Stevens, Rick, Chard, Kyle, Foster, Ian
Deep learning methods are transforming research, enabling new techniques, and ultimately leading to new discoveries. As the demand for more capable AI models continues to grow, we are now entering an era of Trillion Parameter Models (TPM), or models
Externí odkaz:
http://arxiv.org/abs/2402.03480
Autor:
Nousiainen, Jalo, Engler, Byron, Kasper, Markus, Rajani, Chang, Helin, Tapio, Heritier, Cédric T., Quanz, Sascha P., Glauser, Adrian M.
Direct imaging of Earth-like exoplanets is one of the most prominent scientific drivers of the next generation of ground-based telescopes. Typically, Earth-like exoplanets are located at small angular separations from their host stars, making their d
Externí odkaz:
http://arxiv.org/abs/2401.00242
Autor:
Wang, Chenguang, Engler, Davis, Li, Xuechun, Hou, James, Wald, David J., Jaiswal, Kishor, Xu, Susu
When a damaging earthquake occurs, immediate information about casualties is critical for time-sensitive decision-making by emergency response and aid agencies in the first hours and days. Systems such as Prompt Assessment of Global Earthquakes for R
Externí odkaz:
http://arxiv.org/abs/2312.03755
Autor:
Milli, Julien, Choquet, Elodie, Tazaki, Ryo, Ménard, François, Augereau, Jean-Charles, Olofsson, Johan, Thébault, Philippe, Poch, Olivier, Levasseur-Regourd, Anny-Chantal, Lasue, Jérémie, Renard, Jean-Baptiste, Hadamcik, Edith, Baruteau, Clément, Schmid, Hans Martin, Engler, Natalia, van Holstein, Rob G., Zubko, Evgenij, Lagrange, Anne-Marie, Marino, Sebastian, Pinte, Chirstophe, Dominik, Carsten, Boccaletti, Anthony, Langlois, Maud, Zurlo, Alice, Desgrange, Célia, Gluck, Laurence, Mouillet, David, Costille, Anne, Sauvage, Jean-François
Polarisation is a powerful remote-sensing tool to study the nature of particles scattering the starlight. It is widely used to characterise interplanetary dust particles in the Solar System and increasingly employed to investigate extrasolar dust in
Externí odkaz:
http://arxiv.org/abs/2312.02000