Zobrazeno 1 - 10
of 639 834
pro vyhledávání: '"A Campbell"'
Autor:
Nepal, Subigya, Pillai, Arvind, Campbell, William, Massachi, Talie, Heinz, Michael V., Kunwar, Ashmita, Choi, Eunsol Soul, Xu, Orson, Kuc, Joanna, Huckins, Jeremy, Holden, Jason, Preum, Sarah M., Depp, Colin, Jacobson, Nicholas, Czerwinski, Mary, Granholm, Eric, Campbell, Andrew T.
Mental health concerns are prevalent among college students, highlighting the need for effective interventions that promote self-awareness and holistic well-being. MindScape pioneers a novel approach to AI-powered journaling by integrating passively
Externí odkaz:
http://arxiv.org/abs/2409.09570
Autor:
Wolfe, M. A., McJunkin, Thomas, Ward, Daniel R., Campbell, DeAnna, Friesen, Mark, Eriksson, M. A.
The challenges of operating qubits in a cryogenic environment point to a looming bottleneck for large-scale quantum processors, limited by the number of input-output connections. Classical processors solve this problem via multiplexing; however, on-c
Externí odkaz:
http://arxiv.org/abs/2410.13721
Autor:
Yang, Qidong, Giezendanner, Jonathan, Civitarese, Daniel Salles, Jakubik, Johannes, Schmitt, Eric, Chandra, Anirban, Vila, Jeremy, Hohl, Detlef, Hill, Chris, Watson, Campbell, Wang, Sherrie
Urgent applications like wildfire management and renewable energy generation require precise, localized weather forecasts near the Earth's surface. However, weather forecast products from machine learning or numerical weather models are currently gen
Externí odkaz:
http://arxiv.org/abs/2410.12938
We present MultiCamCows2024, a farm-scale image dataset filmed across multiple cameras for the biometric identification of individual Holstein-Friesian cattle exploiting their unique black and white coat-patterns. Captured by three ceiling-mounted vi
Externí odkaz:
http://arxiv.org/abs/2410.12695
Autor:
Shakur, Ameer Hamza, Holcomb, Michael J., Hein, David, Kang, Shinyoung, Dalton, Thomas O., Campbell, Krystle K., Scott, Daniel J., Jamieson, Andrew R.
Grading Objective Structured Clinical Examinations (OSCEs) is a time-consuming and expensive process, traditionally requiring extensive manual effort from human experts. In this study, we explore the potential of Large Language Models (LLMs) to asses
Externí odkaz:
http://arxiv.org/abs/2410.12858
Can we detect an object that is not visible in an image? This study introduces the novel task of 2D and 3D unobserved object detection for predicting the location of objects that are occluded or lie outside the image frame. We adapt several state-of-
Externí odkaz:
http://arxiv.org/abs/2410.05869
A universality conjecture of Farmer and Rhoades [Trans. Amer. Math. Soc., 357(9):3789--3811, 2005] and Farmer [Adv. Math., 411:Paper No. 108781, 14, 2022] asserts that, under some natural conditions, the roots of an entire function should become perf
Externí odkaz:
http://arxiv.org/abs/2410.06403
Autor:
Liu, Sulin, Nam, Juno, Campbell, Andrew, Stärk, Hannes, Xu, Yilun, Jaakkola, Tommi, Gómez-Bombarelli, Rafael
Discrete diffusion has achieved state-of-the-art performance, outperforming or approaching autoregressive models on standard benchmarks. In this work, we introduce Discrete Diffusion with Planned Denoising (DDPD), a novel framework that separates the
Externí odkaz:
http://arxiv.org/abs/2410.06264
Generalizing a theorem of the first two authors and Geelen for planes, we show that, for a real-representable matroid $M$, either the average hyperplane-size in $M$ is at most a constant depending only on its rank, or each hyperplane of $M$ contains
Externí odkaz:
http://arxiv.org/abs/2410.05513
Autor:
Caune, Laura, Skoric, Luka, Blunt, Nick S., Ruban, Archibald, McDaniel, Jimmy, Valery, Joseph A., Patterson, Andrew D., Gramolin, Alexander V., Majaniemi, Joonas, Barnes, Kenton M., Bialas, Tomasz, Buğdaycı, Okan, Crawford, Ophelia, Gehér, György P., Krovi, Hari, Matekole, Elisha, Topal, Canberk, Poletto, Stefano, Bryant, Michael, Snyder, Kalan, Gillespie, Neil I., Jones, Glenn, Johar, Kauser, Campbell, Earl T., Hill, Alexander D.
Quantum error correction (QEC) will be essential to achieve the accuracy needed for quantum computers to realise their full potential. The field has seen promising progress with demonstrations of early QEC and real-time decoded experiments. As quantu
Externí odkaz:
http://arxiv.org/abs/2410.05202