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pro vyhledávání: '"Koessler A"'
As frontier artificial intelligence (AI) systems become more capable, it becomes more important that developers can explain why their systems are sufficiently safe. One way to do so is via safety cases: reports that make a structured argument, suppor
Externí odkaz:
http://arxiv.org/abs/2410.21572
Several jurisdictions are starting to regulate frontier artificial intelligence (AI) systems, i.e. general-purpose AI systems that match or exceed the capabilities present in the most advanced systems. To reduce risks from these systems, regulators m
Externí odkaz:
http://arxiv.org/abs/2407.07300
Frontier artificial intelligence (AI) systems could pose increasing risks to public safety and security. But what level of risk is acceptable? One increasingly popular approach is to define capability thresholds, which describe AI capabilities beyond
Externí odkaz:
http://arxiv.org/abs/2406.14713
Autor:
Heim, Lennart, Koessler, Leonie
Regulators in the US and EU are using thresholds based on training compute--the number of computational operations used in training--to identify general-purpose artificial intelligence (GPAI) models that may pose risks of large-scale societal harm. W
Externí odkaz:
http://arxiv.org/abs/2405.10799
Autor:
Freire-Fernández, Francisco, Sinai, Nathan G., Tan, Max J. H., Park, Sang-Min, Koessler, Eric, Krauss, Todd D., Huo, Pengfei, Odom, Teri W.
This paper reports how CdSe core-only nanoplatelets coupled with plasmonic Al nanoparticle lattices can exhibit exciton-polariton lasing. By improving a procedure to synthesize monodisperse 4-monolayer CdSe nanoplatelets, we could resolve polariton d
Externí odkaz:
http://arxiv.org/abs/2404.08395
Autor:
Seger, Elizabeth, Dreksler, Noemi, Moulange, Richard, Dardaman, Emily, Schuett, Jonas, Wei, K., Winter, Christoph, Arnold, Mackenzie, hÉigeartaigh, Seán Ó, Korinek, Anton, Anderljung, Markus, Bucknall, Ben, Chan, Alan, Stafford, Eoghan, Koessler, Leonie, Ovadya, Aviv, Garfinkel, Ben, Bluemke, Emma, Aird, Michael, Levermore, Patrick, Hazell, Julian, Gupta, Abhishek
Recent decisions by leading AI labs to either open-source their models or to restrict access to their models has sparked debate about whether, and how, increasingly capable AI models should be shared. Open-sourcing in AI typically refers to making mo
Externí odkaz:
http://arxiv.org/abs/2311.09227
Autor:
Koessler, Leonie, Schuett, Jonas
Companies like OpenAI, Google DeepMind, and Anthropic have the stated goal of building artificial general intelligence (AGI) - AI systems that perform as well as or better than humans on a wide variety of cognitive tasks. However, there are increasin
Externí odkaz:
http://arxiv.org/abs/2307.08823
Autor:
Hannah L. Williams, Ana Leni Frei, Thibaud Koessler, Martin D. Berger, Heather Dawson, Olivier Michielin, Inti Zlobec
Publikováno v:
npj Precision Oncology, Vol 8, Iss 1, Pp 1-18 (2024)
Abstract Enabling the examination of cell-cell relationships in tissue, spatially resolved omics technologies have revolutionised our perspectives on cancer biology. Clinically, the development of immune checkpoint inhibitors (ICI) has advanced cance
Externí odkaz:
https://doaj.org/article/f2ef085cd2a340bbb4523c525e173237
Autor:
Zeller-Hahn, Julia, Bittl, Marius, Kuhn, Sabine, Koessler, Angela, Weber, Katja, Koessler, Juergen, Kobsar, Anna
Publikováno v:
In Cellular Signalling October 2024 122
Autor:
Hiba Mechahougui, Mickael Chevallay, François Cauchy, Nicolas Chaveau, Giacomo Puppa, Thibaud Koessler, Stefan Monig
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
Gastric cancer often presents at an advanced stage in Western populations due to a lack of screening programs, leading to poor prognoses. Historically, palliative chemotherapy resulted in a median survival of 9.9 months. However, the introduction of
Externí odkaz:
https://doaj.org/article/ca7b419bbadb4e80a8e1587394e80088