Zobrazeno 1 - 10
of 16 943
pro vyhledávání: '"Younes, P."'
Autor:
Wang, Yongdong, Xiao, Runze, Kasahara, Jun Younes Louhi, Yajima, Ryosuke, Nagatani, Keiji, Yamashita, Atsushi, Asama, Hajime
Large Language Models (LLMs) have demonstrated significant reasoning capabilities in robotic systems. However, their deployment in multi-robot systems remains fragmented and struggles to handle complex task dependencies and parallel execution. This s
Externí odkaz:
http://arxiv.org/abs/2411.09022
The intense magnetic fields of neutron stars naturally lead to strong anisotropy and polarization of radiation emanating from their surfaces, both being sensitive to the hot spot position on the surface. Accordingly, pulse phase-resolved intensities
Externí odkaz:
http://arxiv.org/abs/2411.06621
A near-minimal instance of optical cooling is experimentally presented wherein the internal-state entropy of a single atom is reduced more than twofold by illuminating it with broadband, incoherent light. Since the rate of optical pumping by a therma
Externí odkaz:
http://arxiv.org/abs/2411.04733
Identifying dynamical systems characterized by nonlinear parameters presents significant challenges in deriving mathematical models that enhance understanding of physics. Traditional methods, such as Sparse Identification of Nonlinear Dynamics (SINDy
Externí odkaz:
http://arxiv.org/abs/2410.16528
Autor:
Schlossberger, Noah, Rotunno, Andrew P., Eckel, Stephen P., Norrgard, Eric B., Manchaiah, Dixith, Prajapati, Nikunjkumar, Artusio-Glimpse, Alexandra B., Berweger, Samuel, Simons, Matthew T., Shylla, Dangka, Watterson, William J., Patrick, Charles, Meraki, Adil, Talashila, Rajavardhan, Younes, Amanda, La Mantia, David S., Holloway, Christopher L.
Rydberg states of alkali atoms are highly sensitive to electromagnetic radiation in the GHz-to-THz regime because their transitions have large electric dipole moments. Consequently, environmental blackbody radiation (BBR) can couple Rydberg states to
Externí odkaz:
http://arxiv.org/abs/2410.11694
The ability to predict future events or patterns based on previous experience is crucial for many applications such as traffic control, weather forecasting, or supply chain management. While modern supervised Machine Learning approaches excel at such
Externí odkaz:
http://arxiv.org/abs/2410.08637
The capabilities of Large Language Models (LLMs) have significantly evolved, extending from natural language processing to complex tasks like code understanding and generation. We expand the scope of LLMs' capabilities to a broader context, using LLM
Externí odkaz:
http://arxiv.org/abs/2410.06667
Autor:
Zuo, Jingwei, Velikanov, Maksim, Rhaiem, Dhia Eddine, Chahed, Ilyas, Belkada, Younes, Kunsch, Guillaume, Hacid, Hakim
In this technical report, we present Falcon Mamba 7B, a new base large language model based on the novel Mamba architecture. Falcon Mamba 7B is trained on 5.8 trillion tokens with carefully selected data mixtures. As a pure Mamba-based model, Falcon
Externí odkaz:
http://arxiv.org/abs/2410.05355
Autor:
Herringer, Paul, Bulchandani, Vir B., Javanmard, Younes, Stephen, David T., Raussendorf, Robert
We present the first examples of topological phases of matter with uniform power for measurement-based quantum computation. This is possible thanks to a new framework for analyzing the computational properties of phases of matter that is more general
Externí odkaz:
http://arxiv.org/abs/2410.02716
Domain walls are a type of topological defects that can arise in the early universe after the spontaneous breaking of a discrete symmetry. This occurs in several beyond Standard Model theories with an extended Higgs sector such as the Next-to-Two-Hig
Externí odkaz:
http://arxiv.org/abs/2410.01889