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pro vyhledávání: '"Khalifa Ahmed"'
We investigate the spontaneous disintegration of magnons in two-dimensional ferromagnets and antiferromagnets dominated by long-range dipolar interactions. Analyzing kinematic constraints, we show that the unusual dispersion of dipolar ferromagnets i
Externí odkaz:
http://arxiv.org/abs/2407.19011
Autor:
Barthet, Matthew, Gallotta, Roberto, Khalifa, Ahmed, Liapis, Antonios, Yannakakis, Georgios N.
Game environments offer a unique opportunity for training virtual agents due to their interactive nature, which provides diverse play traces and affect labels. Despite their potential, no reinforcement learning framework incorporates human affect mod
Externí odkaz:
http://arxiv.org/abs/2407.18316
Autonomously tailoring content to a set of predetermined affective patterns has long been considered the holy grail of affect-aware human-computer interaction at large. The experience-driven procedural content generation framework realises this visio
Externí odkaz:
http://arxiv.org/abs/2408.06346
Autor:
Bintz, Marcus, Liu, Vincent S., Hauschild, Johannes, Khalifa, Ahmed, Chatterjee, Shubhayu, Zaletel, Michael P., Yao, Norman Y.
We predict that the gapless $U(1)$ Dirac spin liquid naturally emerges in a two-dimensional array of quantum dipoles. In particular, we demonstrate that the dipolar XY model$\unicode{x2014}$realized in both Rydberg atom arrays and ultracold polar mol
Externí odkaz:
http://arxiv.org/abs/2406.00098
Publikováno v:
International Review of Law, Vol 2018, Iss 4 (2019)
لا شك أن صدور القرار المفاجئ لمجموعة الدول الأربع، السعودية والإمارات والبحرين ومصر، بمقاطعة دولة قطر وفرض نوعٍ من الحصار البري والبحري
Externí odkaz:
https://doaj.org/article/9a01d679a05443e38e5b66153a430d34
This paper introduces a system used to generate game feature suggestions based on a text prompt. Trained on the game descriptions of almost 60k games, it uses the word embeddings of a small GLoVe model to extract features and entities found in themat
Externí odkaz:
http://arxiv.org/abs/2308.13538
We explore AI-powered upscaling as a design assistance tool in the context of creating 2D game levels. Deep neural networks are used to upscale artificially downscaled patches of levels from the puzzle platformer game Lode Runner. The trained network
Externí odkaz:
http://arxiv.org/abs/2308.01543
Publikováno v:
2021 IEEE Conference on Games (CoG), Copenhagen, Denmark, 2021, pp. 01-08
We present Lode Encoder, a gamified mixed-initiative level creation system for the classic platform-puzzle game Lode Runner. The system is built around several autoencoders which are trained on sets of Lode Runner levels. When fed with the user's des
Externí odkaz:
http://arxiv.org/abs/2308.01312
Path of Destruction (PoD) is a self-supervised method for learning iterative generators. The core idea is to produce a training set by destroying a set of artifacts, and for each destructive step create a training instance based on the corresponding
Externí odkaz:
http://arxiv.org/abs/2305.18553
Autor:
Abdelnasser Mohammad K., Khalifa Ahmed A., Khalifa Yaser E., Bakr Hatem M., Mahran Mohammad A., Moustafa Mohammad A., Mohammad Ayman K., Abdelaal Ahmed M.
Publikováno v:
SICOT-J, Vol 5, p 11 (2019)
Case: A case of Type 3B Paprosky acetabular defect with intrapelvic cup migration where anterior column plating and cup extraction was done through an abdominal pararectus approach. A male patient 63 years old reported progressive pain and walkin
Externí odkaz:
https://doaj.org/article/638b3148732b4287a552813c7c6941f1