Zobrazeno 1 - 10
of 13 989
pro vyhledávání: '"Hadfield, A"'
Autor:
Hassan, Mohamed Abul, Sun, Pu, Zhou, Xiangnan, Kraft, Lisanne, Hadfield, Kelsey T, Ehrlich, Katjana, Qi, Jinyi, Birkeland, Andrew, Marcu, Laura
This study introduces a novel data-centric approach to improve real-time surgical guidance using fiber-based fluorescence lifetime imaging (FLIm). A key aspect of the methodology is the accurate detection of the aiming beam, which is essential for lo
Externí odkaz:
http://arxiv.org/abs/2411.07395
Federated Learning is a privacy preserving decentralized machine learning paradigm designed to collaboratively train models across multiple clients by exchanging gradients to the server and keeping private data local. Nevertheless, recent research ha
Externí odkaz:
http://arxiv.org/abs/2411.03019
We present an online method for embodied agents to learn and accomplish diverse user goals. While offline methods like RLHF can represent various goals but require large datasets, our approach achieves similar flexibility with online efficiency. We e
Externí odkaz:
http://arxiv.org/abs/2410.13957
In this report, we propose the implementation of national registries for frontier AI models as a foundational tool for AI governance. We explore the rationale, design, and implementation of such registries, drawing on comparisons with registries in a
Externí odkaz:
http://arxiv.org/abs/2410.09645
Cross-View Geo-Localisation within urban regions is challenging in part due to the lack of geo-spatial structuring within current datasets and techniques. We propose utilising graph representations to model sequences of local observations and the con
Externí odkaz:
http://arxiv.org/abs/2409.15514
Autor:
Brady, Lucas T., Hadfield, Stuart
Quantum optimization, both for classical and quantum functions, is one of the most well-studied applications of quantum computing, but recent trends have relied on hybrid methods that push much of the fine-tuning off onto costly classical algorithms.
Externí odkaz:
http://arxiv.org/abs/2409.15426
Autor:
Kubiak, Nikolina, Wortman, Elliot, Mustafa, Armin, Phillipson, Graeme, Jolly, Stephen, Hadfield, Simon
Existing shadow detection models struggle to differentiate dark image areas from shadows. In this paper, we tackle this issue by verifying that all detected shadows are real, i.e. they have paired shadow casters. We perform this step in a physically-
Externí odkaz:
http://arxiv.org/abs/2408.17143
Autor:
Azem, Adan, Morozov, Dmitry V., Kuznesof, Daniel, Bruscino, Ciro, Hadfield, Robert H., Chrostowski, Lukas, Young, Jeff F.
Superconducting nanowire single-photon detectors are widely used for detecting individual photons across various wavelengths from ultraviolet to near-infrared range. Recently, there has been increasing interest in enhancing their sensitivity to singl
Externí odkaz:
http://arxiv.org/abs/2408.15959
Autor:
Summerfield, Christopher, Argyle, Lisa, Bakker, Michiel, Collins, Teddy, Durmus, Esin, Eloundou, Tyna, Gabriel, Iason, Ganguli, Deep, Hackenburg, Kobi, Hadfield, Gillian, Hewitt, Luke, Huang, Saffron, Landemore, Helene, Marchal, Nahema, Ovadya, Aviv, Procaccia, Ariel, Risse, Mathias, Schneier, Bruce, Seger, Elizabeth, Siddarth, Divya, Sætra, Henrik Skaug, Tessler, MH, Botvinick, Matthew
Advanced AI systems capable of generating humanlike text and multimodal content are now widely available. In this paper, we discuss the impacts that generative artificial intelligence may have on democratic processes. We consider the consequences of
Externí odkaz:
http://arxiv.org/abs/2409.06729
Existing methods for reconstructing objects and humans from a monocular image suffer from severe mesh collisions and performance limitations for interacting occluding objects. This paper introduces a method to obtain a globally consistent 3D reconstr
Externí odkaz:
http://arxiv.org/abs/2408.08086