Zobrazeno 1 - 10
of 178 793
pro vyhledávání: '"Have, Mona"'
Autor:
Dohi, Takaaki, Bhukta, Mona, Kammerbauer, Fabian, Bharadwaj, Venkata Krishna, Zarzuela, Ricardo, Sud, Aakanksha, Syskaki, Maria-Andromachi, Tran, Duc Minh, Wintz, Sebastian, Weigand, Markus, Finizio, Simone, Raabe, Jörg, Frömter, Robert, Sinova, Jairo, Kläui, Mathias
Topological spin textures in magnetic materials beyond two-dimensional skyrmions have attracted attention for electronics beyond CMOS technologies. In particular, three-dimensional (3D) topological spin textures are promising due to the expected comp
Externí odkaz:
http://arxiv.org/abs/2411.19698
Autor:
Monkman, Kyle, Berciu, Mona
While it is well established that the dynamics of an open system is described well by the Lindblad master equation if the coupling to the bath is either in the weak or in the singular limit, it is not known whether this description can be extended to
Externí odkaz:
http://arxiv.org/abs/2411.14599
We introduce a monolithically integrated terahertz optoelectronics (MITO) platform that uses quantum well (QW) structures to enable tunable terahertz signal generation and detection on a single chip. Through photomixing in QW PIN photodiodes, the MIT
Externí odkaz:
http://arxiv.org/abs/2411.12046
Autor:
Zhao, Yifan, Jarrahi, Mona
Quantum well (QW) structures are widely used in lasers, semiconductor optical amplifiers, modulators, enabling their monolithic integration on the same substrate. As optoelectronic systems evolve to meet the growing bandwidth demands in the terahertz
Externí odkaz:
http://arxiv.org/abs/2411.09183
Autor:
Shiri, Fatemeh, Guo, Xiao-Yu, Far, Mona Golestan, Yu, Xin, Haffari, Gholamreza, Li, Yuan-Fang
Large Multimodal Models (LMMs) have achieved strong performance across a range of vision and language tasks. However, their spatial reasoning capabilities are under-investigated. In this paper, we construct a novel VQA dataset, Spatial-MM, to compreh
Externí odkaz:
http://arxiv.org/abs/2411.06048
Publikováno v:
IEEE Access, vol. 12, pp. 157540-157555, 2024
This survey uncovers the tension between AI techniques designed for energy saving in mobile networks and the energy demands those same techniques create. We compare modeling approaches that estimate power usage cost of current commercial terrestrial
Externí odkaz:
http://arxiv.org/abs/2411.02164
Recent sustainability drives place energy-consumption metrics in centre-stage for the design of future radio access networks (RAN). At the same time, optimising the trade-off between performance and system energy usage by machine-learning (ML) is an
Externí odkaz:
http://arxiv.org/abs/2411.02135
Autor:
Brouillette, Rebecca L., Mona, Christine E., Desgagné, Michael, Hassanzedeh, Malihe, Breault, Émile, Lussier, Frédérique, Belleville, Karine, Longpré, Jean-Michel, Grandbois, Michel, Boudreault, Pierre-Luc, Besserer-Offroy, Élie, Sarret, Philippe
\b{eta}-arrestins play pivotal roles in seven transmembrane receptor (7TMR) signalling and trafficking. To study their functional role in the regulation of specific receptor systems, current research relies mainly on genetic tools, as few pharmacolog
Externí odkaz:
http://arxiv.org/abs/2411.07258
Understanding and mitigating the potential risks associated with foundation models (FMs) hinges on developing effective interpretability methods. Sparse Autoencoders (SAEs) have emerged as a promising tool for disentangling FM representations, but th
Externí odkaz:
http://arxiv.org/abs/2411.00743
In this work, we tackle the challenge of embedding realistic human personality traits into LLMs. Previous approaches have primarily focused on prompt-based methods that describe the behavior associated with the desired personality traits, suffering f
Externí odkaz:
http://arxiv.org/abs/2410.16491