Zobrazeno 1 - 10
of 71 881
pro vyhledávání: '"Cramer, AS"'
Material selection plays a pivotal role in many industries, from manufacturing to construction. Material selection is usually carried out after several cycles of conceptual design, during which designers iteratively refine the design solution and the
Externí odkaz:
http://arxiv.org/abs/2407.09719
Autor:
Ardaševa, Aleksandra, Vélez-Cerón, Ignasi, Pedersen, Martin Cramer, Ignés-Mullol, Jordi, Sagués, Francesc, Doostmohammadi, Amin
We present a novel two-stage transition of the ordered active nematic state of a system of bundled microtubules into a biphasic active fluid. Specifically, we show that upon light-induced solidification of the underlying medium, microtubule-kinesin m
Externí odkaz:
http://arxiv.org/abs/2407.03723
Combining Reinforcement Learning (RL) with a prior controller can yield the best out of two worlds: RL can solve complex nonlinear problems, while the control prior ensures safer exploration and speeds up training. Prior work largely blends both comp
Externí odkaz:
http://arxiv.org/abs/2406.19768
Autor:
Fabbri, Luca, Migliaccio, Ludovico, Širvinskytė, Aleksandra, Rizzi, Giacomo, Bondi, Luca, Tamarozzi, Cristiano, Weber, Stefan A. L., Fraboni, Beatrice, Glowacki, Eric Daniel, Cramer, Tobias
Light activated local stimulation and sensing of biological cells offers enormous potential for minimally invasive bioelectronic interfaces. Organic semiconductors are a promising material class to achieve this kind of transduction due to their optoe
Externí odkaz:
http://arxiv.org/abs/2406.18447
There has been significant progress in deep reinforcement learning (RL) in recent years. Nevertheless, finding suitable hyperparameter configurations and reward functions remains challenging even for experts, and performance heavily relies on these d
Externí odkaz:
http://arxiv.org/abs/2406.18293
Autor:
Schmidt, Kendall, Bearce, Benjamin, Chang, Ken, Coombs, Laura, Farahani, Keyvan, Elbatele, Marawan, Mouhebe, Kaouther, Marti, Robert, Zhang, Ruipeng, Zhang, Yao, Wang, Yanfeng, Hu, Yaojun, Ying, Haochao, Xu, Yuyang, Testagrose, Conrad, Demirer, Mutlu, Gupta, Vikash, Akünal, Ünal, Bujotzek, Markus, Maier-Hein, Klaus H., Qin, Yi, Li, Xiaomeng, Kalpathy-Cramer, Jayashree, Roth, Holger R.
Publikováno v:
Medical Image Analysis Volume 95, July 2024, 103206
The correct interpretation of breast density is important in the assessment of breast cancer risk. AI has been shown capable of accurately predicting breast density, however, due to the differences in imaging characteristics across mammography system
Externí odkaz:
http://arxiv.org/abs/2405.14900
Autor:
Andersen, Michael Cramer
Publikováno v:
Modern Physics Letters A, Vol. 39, No. 12, 2450053 (2024)
This study explores the age-old quest to construct a geometric model of a quantum particle. While static classical particle models have largely been dismissed, the focus has now shifted to intricate dynamic models that hold the promise of reconciling
Externí odkaz:
http://arxiv.org/abs/2405.12049
Robust access to trustworthy information is a critical need for society with implications for knowledge production, public health education, and promoting informed citizenry in democratic societies. Generative AI technologies may enable new ways to a
Externí odkaz:
http://arxiv.org/abs/2405.11612
Autor:
Gonçalves, Tiago, Pulido-Arias, Dagoberto, Willett, Julian, Hoebel, Katharina V., Cleveland, Mason, Ahmed, Syed Rakin, Gerstner, Elizabeth, Kalpathy-Cramer, Jayashree, Cardoso, Jaime S., Bridge, Christopher P., Kim, Albert E.
The interactions between tumor cells and the tumor microenvironment (TME) dictate therapeutic efficacy of radiation and many systemic therapies in breast cancer. However, to date, there is not a widely available method to reproducibly measure tumor a
Externí odkaz:
http://arxiv.org/abs/2404.16397
Material selection is a crucial step in conceptual design due to its significant impact on the functionality, aesthetics, manufacturability, and sustainability impact of the final product. This study investigates the use of Large Language Models (LLM
Externí odkaz:
http://arxiv.org/abs/2405.03695