Zobrazeno 1 - 10
of 13 803
pro vyhledávání: '"Pilz, A."'
Autor:
Kalwarczyk, Tomasz, Bubak, Grzegorz, Michalski, Jarosław, Kwapiszewska, Karina, Pilz, Marta, Mamot, Adam, Jemielity, Jacek, Hołyst, Robert
Advanced microscopy techniques are essential for visualizing and tracking cellular components and molecules in biomedical research. However, conventional fluorescence microscopy methods often struggle with accurately measuring molecule concentrations
Externí odkaz:
http://arxiv.org/abs/2410.00532
Autor:
Hollenbach, M., Klingner, N., Mazarov, P., Pilz, W., Nadzeyka, A., Mayer, F., Abrosimov, N. V., Bischoff, L., Hlawacek, G., Helm, M., Astakhov, G. V.
Carbon implantation at the nanoscale is highly desired for the engineering of defect-based qubits in a variety of materials, including silicon, diamond, SiC and hBN. However, the lack of focused carbon ion beams does not allow for the full disclosure
Externí odkaz:
http://arxiv.org/abs/2404.19592
Autor:
Sastry, Girish, Heim, Lennart, Belfield, Haydn, Anderljung, Markus, Brundage, Miles, Hazell, Julian, O'Keefe, Cullen, Hadfield, Gillian K., Ngo, Richard, Pilz, Konstantin, Gor, George, Bluemke, Emma, Shoker, Sarah, Egan, Janet, Trager, Robert F., Avin, Shahar, Weller, Adrian, Bengio, Yoshua, Coyle, Diane
Computing power, or "compute," is crucial for the development and deployment of artificial intelligence (AI) capabilities. As a result, governments and companies have started to leverage compute as a means to govern AI. For example, governments are i
Externí odkaz:
http://arxiv.org/abs/2402.08797
Point clouds and high-resolution 3D data have become increasingly important in various fields, including surveying, construction, and virtual reality. However, simply having this data is not enough; to extract useful information, semantic labeling is
Externí odkaz:
http://arxiv.org/abs/2402.06531
Training advanced AI models requires large investments in computational resources, or compute. Yet, as hardware innovation reduces the price of compute and algorithmic advances make its use more efficient, the cost of training an AI model to a given
Externí odkaz:
http://arxiv.org/abs/2311.15377
Autor:
Pilz, Konstantin, Heim, Lennart
This report characterizes the data center industry and its importance for AI development. Data centers are industrial facilities that efficiently provide compute at scale and thus constitute the engine rooms of today's digital economy. As large-scale
Externí odkaz:
http://arxiv.org/abs/2311.02651
Autor:
Maximilian Pilz, Samuel Zimmermann, Juliane Friedrichs, Enrica Wördehoff, Ulrich Ronellenfitsch, Meinhard Kieser, Johannes A. Vey
Publikováno v:
Systematic Reviews, Vol 13, Iss 1, Pp 1-14 (2024)
Abstract Background Title-abstract screening in the preparation of a systematic review is a time-consuming task. Modern techniques of natural language processing and machine learning might allow partly automatization of title-abstract screening. In p
Externí odkaz:
https://doaj.org/article/48ede6f1bd4f4ec5882c8ce8c0cd6cc0
Autor:
Francesco Walker, Berno Bucker, Joshua Snell, Nicola Anderson, Zsofia Pilz, Kim Houwaart, Reinout Van den Brink, Pauline Kintz, Irma de Vries, Jan Theeuwes
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Children learn about art by actively engaging with their surroundings. This makes museums potentially rich environments for learning and development. Yet, the descriptions of paintings on show are usually written for adults rather than young
Externí odkaz:
https://doaj.org/article/155d07d9213c48a5b84397ed78bd49e8
Autor:
Frederick J. Angulo, Julia Olsen, Veronica Purdel, Mihaela Lupșe, Adriana Hristea, Violeta Briciu, Emily Colby, Andreas Pilz, Kate Halsby, Patrick H. Kelly, Gordon Brestrich, Jennifer C. Moïsi, James H. Stark
Publikováno v:
Parasites & Vectors, Vol 17, Iss 1, Pp 1-8 (2024)
Abstract Background Lyme borreliosis (LB), caused by Borrelia burgdorferi sensu lato (Bbsl), is the most common tick-borne disease in Europe. Although public health surveillance for LB has been conducted in Romania since 2007, the extent of under-det
Externí odkaz:
https://doaj.org/article/174ca9a636b840a5992513429467f303
We discuss and analyze a neural network architecture, that enables learning a model class for a set of different data samples rather than just learning a single model for a specific data sample. In this sense, it may help to reduce the overfitting pr
Externí odkaz:
http://arxiv.org/abs/2304.08883