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pro vyhledávání: '"Byrd, A."'
The precise characterization of dynamics in open quantum systems often presents significant challenges, leading to the introduction of various approximations to simplify a model. One commonly used strategy involves Markovian approximations, assuming
Externí odkaz:
http://arxiv.org/abs/2411.17197
Recent advances in Large Language Models (LLMs) have helped facilitate exciting progress for robotic planning in real, open-world environments. 3D scene graphs (3DSGs) offer a promising environment representation for grounding such LLM-based planners
Externí odkaz:
http://arxiv.org/abs/2410.23968
Autor:
Rivera, Corban, Byrd, Grayson, Paul, William, Feldman, Tyler, Booker, Meghan, Holmes, Emma, Handelman, David, Kemp, Bethany, Badger, Andrew, Schmidt, Aurora, Jatavallabhula, Krishna Murthy, de Melo, Celso M, Seenivasan, Lalithkumar, Unberath, Mathias, Chellappa, Rama
Robotic planning and execution in open-world environments is a complex problem due to the vast state spaces and high variability of task embodiment. Recent advances in perception algorithms, combined with Large Language Models (LLMs) for planning, of
Externí odkaz:
http://arxiv.org/abs/2410.06108
Autor:
Ding, Hao, Seenivasan, Lalithkumar, Shu, Hongchao, Byrd, Grayson, Zhang, Han, Xiao, Pu, Barragan, Juan Antonio, Taylor, Russell H., Kazanzides, Peter, Unberath, Mathias
Large language model-based (LLM) agents are emerging as a powerful enabler of robust embodied intelligence due to their capability of planning complex action sequences. Sound planning ability is necessary for robust automation in many task domains, b
Externí odkaz:
http://arxiv.org/abs/2409.13107
Autor:
Byrd, Don
This document focuses on the threats, especially near-term threats, that Artificial Intelligence (AI) brings to society. Most of the threats discussed here can result from any algorithmic process, not just AI; in addition, defining AI is notoriously
Externí odkaz:
http://arxiv.org/abs/2409.02219
This paper aims to give readers a high-level overview of the different MCX depth reduction techniques that utilize ancilla qubits. We also exhibit a brief analysis of how they would perform under different quantum topological settings. The techniques
Externí odkaz:
http://arxiv.org/abs/2408.01304
Autor:
Burr, Michael, Byrd, Michael
We present a certified algorithm based on subdivision for computing an isotopic approximation to any number of curves in the plane. Our algorithm is based on the certified curve approximation algorithm of Plantinga and Vegter. The main challenge in t
Externí odkaz:
http://arxiv.org/abs/2407.16911
The strict selectivity of the blood-brain barrier (BBB) represents one of the most formidable challenges to successful central nervous system (CNS) drug delivery. Computational methods to generate BBB permeable drugs in silico may be valuable tools i
Externí odkaz:
http://arxiv.org/abs/2407.00004
Autor:
Byrd, Gene, Howard, Sethanne
Many Hubble type S galaxies have a flat rotation curve, V extending into the outer disk. The surface brightness there is too low to create V from stars of a reasonable mass-to-light ratio. To maintain a stable disk, a massive dark matter halo is usua
Externí odkaz:
http://arxiv.org/abs/2404.00944