Zobrazeno 1 - 10
of 6 039
pro vyhledávání: '"Waś, Halina"'
Accessing the ballistic regime of single particles in liquids remains an experimental challenge that shrouds our understanding of the particle-liquid interactions on exceedingly short time scales. We demonstrate the ballistic measurements of rotation
Externí odkaz:
http://arxiv.org/abs/2411.09860
Autor:
Simjanovski, Simeon, Gauthier, Guillaume, Rubinsztein-Dunlop, Halina, Reeves, Matthew T., Neely, Tyler W.
We study the creation and breakdown of a quantized vortex shear layer forming between a stationary Bose-Einstein condensate and a stirred-in persistent current. Once turbulence is established, we characterize the progressive clustering of the vortice
Externí odkaz:
http://arxiv.org/abs/2408.02200
Autor:
Voudouris, Konstantinos, Alhas, Ibrahim, Schellaert, Wout, Mecattaf, Matteo G., Slater, Benjamin, Crosby, Matthew, Holmes, Joel, Burden, John, Chaubey, Niharika, Donnelly, Niall, Patel, Matishalin, Halina, Marta, Hernández-Orallo, José, Cheke, Lucy G.
The Animal-AI Environment is a unique game-based research platform designed to facilitate collaboration between the artificial intelligence and comparative cognition research communities. In this paper, we present the latest version of the Animal-AI
Externí odkaz:
http://arxiv.org/abs/2312.11414
Autor:
Halina, Emily, Guzdial, Matthew
Procedural Content Generation (PCG) is the algorithmic generation of content, often applied to games. PCG and PCG via Machine Learning (PCGML) have appeared in published games. However, it can prove difficult to apply these approaches in the early st
Externí odkaz:
http://arxiv.org/abs/2309.13071
Autor:
Piróg, Adam, Kwaśnicka, Halina
Despite tremendous advancements in Artificial Intelligence, learning from large sets of data in an unsupervised manner remains a significant challenge. Classical clustering algorithms often fail to discover complex dependencies in large datasets, esp
Externí odkaz:
http://arxiv.org/abs/2307.08591
Autor:
Simjanovski, Simeon, Gauthier, Guillaume, Davis, Matthew J., Rubinsztein-Dunlop, Halina, Neely, Tyler W.
Publikováno v:
Phys. Rev. A 108, 063306 (2023)
We demonstrate a method for generating persistent currents in Bose-Einstein condensates by using a Gaussian process learner to experimentally control the stirring of the superfluid. The learner optimizes four different outcomes of the stirring proces
Externí odkaz:
http://arxiv.org/abs/2304.06199
Autor:
Volpe, Giovanni, Wählby, Carolina, Tian, Lei, Hecht, Michael, Yakimovich, Artur, Monakhova, Kristina, Waller, Laura, Sbalzarini, Ivo F., Metzler, Christopher A., Xie, Mingyang, Zhang, Kevin, Lenton, Isaac C. D., Rubinsztein-Dunlop, Halina, Brunner, Daniel, Bai, Bijie, Ozcan, Aydogan, Midtvedt, Daniel, Wang, Hao, Sladoje, Nataša, Lindblad, Joakim, Smith, Jason T., Ochoa, Marien, Barroso, Margarida, Intes, Xavier, Qiu, Tong, Yu, Li-Yu, You, Sixian, Liu, Yongtao, Ziatdinov, Maxim A., Kalinin, Sergei V., Sheridan, Arlo, Manor, Uri, Nehme, Elias, Goldenberg, Ofri, Shechtman, Yoav, Moberg, Henrik K., Langhammer, Christoph, Špačková, Barbora, Helgadottir, Saga, Midtvedt, Benjamin, Argun, Aykut, Thalheim, Tobias, Cichos, Frank, Bo, Stefano, Hubatsch, Lars, Pineda, Jesus, Manzo, Carlo, Bachimanchi, Harshith, Selander, Erik, Homs-Corbera, Antoni, Fränzl, Martin, de Haan, Kevin, Rivenson, Yair, Korczak, Zofia, Adiels, Caroline Beck, Mijalkov, Mite, Veréb, Dániel, Chang, Yu-Wei, Pereira, Joana B., Matuszewski, Damian, Kylberg, Gustaf, Sintorn, Ida-Maria, Caicedo, Juan C., Cimini, Beth A, Bell, Muyinatu A. Lediju, Saraiva, Bruno M., Jacquemet, Guillaume, Henriques, Ricardo, Ouyang, Wei, Le, Trang, Gómez-de-Mariscal, Estibaliz, Sage, Daniel, Muñoz-Barrutia, Arrate, Lindqvist, Ebba Josefson, Bergman, Johanna
Through digital imaging, microscopy has evolved from primarily being a means for visual observation of life at the micro- and nano-scale, to a quantitative tool with ever-increasing resolution and throughput. Artificial intelligence, deep neural netw
Externí odkaz:
http://arxiv.org/abs/2303.03793
Autor:
Woffinden, Charles W., Groszek, Andrew J., Gauthier, Guillaume, Mommers, Bradley J., Bromley, Michael. W. J., Haine, Simon A., Rubinsztein-Dunlop, Halina, Davis, Matthew J., Neely, Tyler W., Baker, Mark
Publikováno v:
SciPost Phys. 15, 128 (2023)
We demonstrate the use of a ring-shaped Bose-Einstein condensate as a rotation sensor by measuring the interference between two counter-propagating phonon modes imprinted azimuthally around the ring. We observe rapid decay of the excitations, quantif
Externí odkaz:
http://arxiv.org/abs/2212.11617
Diversity-based Deep Reinforcement Learning Towards Multidimensional Difficulty for Fighting Game AI
Autor:
Halina, Emily, Guzdial, Matthew
In fighting games, individual players of the same skill level often exhibit distinct strategies from one another through their gameplay. Despite this, the majority of AI agents for fighting games have only a single strategy for each "level" of diffic
Externí odkaz:
http://arxiv.org/abs/2211.02759
Autor:
Volpe, Giovanni, Maragò, Onofrio M., Rubinzstein-Dunlop, Halina, Pesce, Giuseppe, Stilgoe, Alexander B., Volpe, Giorgio, Tkachenko, Georgiy, Truong, Viet Giang, Chormaic, Síle Nic, Kalantarifard, Fatemeh, Elahi, Parviz, Käll, Mikael, Callegari, Agnese, Marqués, Manuel I., Neves, Antonio A. R., Moreira, Wendel L., Fontes, Adriana, Cesar, Carlos L., Saija, Rosalba, Saidi, Abir, Beck, Paul, Eismann, Jörg S., Banzer, Peter, Fernandes, Thales F. D., Pedaci, Francesco, Bowen, Warwick P, Vaippully, Rahul, Lokesh, Muruga, Roy, Basudev, Thalhammer, Gregor, Ritsch-Marte, Monika, García, Laura Pérez, Arzola, Alejandro V., Castillo, Isaac Pérez, Argun, Aykut, Muenker, Till M., Vos, Bart E., Betz, Timo, Cristiani, Ilaria, Minzioni, Paolo, Reece, Peter J., Wang, Fan, McGloin, David, Ndukaife, Justus C., Quidant, Romain, Roberts, Reece P., Laplane, Cyril, Volz, Thomas, Gordon, Reuven, Hanstorp, Dag, Marmolejo, Javier Tello, Bruce, Graham D., Dholakia, Kishan, Li, Tongcang, Brzobohatý, Oto, Simpson, Stephen H., Zemánek, Pavel, Ritort, Felix, Roichman, Yael, Bobkova, Valeriia, Wittkowski, Raphael, Denz, Cornelia, Kumar, G. V. Pavan, Foti, Antonino, Donato, Maria Grazia, Gucciardi, Pietro G., Gardini, L., Bianchi, G., Kashchuk, A., Capitanio, M., Paterson, Lynn, Jones, P. H., Berg-Sørensen, Kirstine, Barooji, Younes F., Oddershede, Lene B., Pouladian, Pegah, Preece, Daryl, Adiels, Caroline Beck, De Luca, Anna Chiara, Magazzù, A., Ciriza, D. Bronte, Iatì, M. A., Swartzlander, Grover A.
Optical tweezers are tools made of light that enable contactless pushing, trapping, and manipulation of objects ranging from atoms to space light sails. Since the pioneering work by Arthur Ashkin in the 1970s, optical tweezers have evolved into sophi
Externí odkaz:
http://arxiv.org/abs/2206.13789