Zobrazeno 1 - 10
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pro vyhledávání: '"Avin, A."'
In this work, we developed an efficient quantum algorithm for the simulation of non-Markovian quantum dynamics, based on the Feynman path integral formulation. The algorithm scales polynomially with the number of native gates and the number of qubits
Externí odkaz:
http://arxiv.org/abs/2411.18168
Distributed systems often serve dynamic workloads and resource demands evolve over time. Such a temporal behavior stands in contrast to the static and demand-oblivious nature of most data structures used by these systems. In this paper, we are partic
Externí odkaz:
http://arxiv.org/abs/2411.11665
We present insights from "Intelligence Rising", a scenario exploration exercise about possible AI futures. Drawing on the experiences of facilitators who have overseen 43 games over a four-year period, we illuminate recurring patterns, strategies, an
Externí odkaz:
http://arxiv.org/abs/2410.03092
The explosively growing communication traffic in datacenters imposes increasingly stringent performance requirements on the underlying networks. Over the last years, researchers have developed innovative optical switching technologies that enable rec
Externí odkaz:
http://arxiv.org/abs/2406.13380
The increasing gap between the growth of datacenter traffic volume and the capacity of electrical switches led to the emergence of reconfigurable datacenter network designs based on optical circuit switching. A multitude of research works, ranging fr
Externí odkaz:
http://arxiv.org/abs/2405.20869
Autor:
Griner, Chen, Avin, Chen
The state-of-the-art topologies of datacenter networks are fixed, based on electrical switching technology, and by now, we understand their throughput and cost well. For the past years, researchers have been developing novel optical switching technol
Externí odkaz:
http://arxiv.org/abs/2402.09115
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
Concerns around future dangers from advanced AI often centre on systems hypothesised to have intrinsic characteristics such as agent-like behaviour, strategic awareness, and long-range planning. We label this cluster of characteristics as "Property X
Externí odkaz:
http://arxiv.org/abs/2310.05876
Autor:
Marija Debeljak, Soonweng Cho, Bradley M. Downs, Michael Considine, Brittany Avin-McKelvey, Yongchun Wang, Phillip N. Perez, William E. Grizzle, Katherine A. Hoadley, Charles F. Lynch, Brenda Y. Hernandez, Paul J. van Diest, Wendy Cozen, Ann S. Hamilton, Debra Hawes, Edward Gabrielson, Ashley Cimino-Mathews, Liliana D. Florea, Leslie Cope, Christopher B. Umbricht
Publikováno v:
Breast Cancer Research, Vol 26, Iss 1, Pp 1-15 (2024)
Abstract Background Ductal carcinoma in-situ (DCIS) is a pre-invasive form of invasive breast cancer (IBC). Due to improved breast cancer screening, it now accounts for ~ 25% of all breast cancers. While the treatment success rates are over 90%, this
Externí odkaz:
https://doaj.org/article/a106b36b520948e78078f14a3c21f70b
Autor:
Anderljung, Markus, Barnhart, Joslyn, Korinek, Anton, Leung, Jade, O'Keefe, Cullen, Whittlestone, Jess, Avin, Shahar, Brundage, Miles, Bullock, Justin, Cass-Beggs, Duncan, Chang, Ben, Collins, Tantum, Fist, Tim, Hadfield, Gillian, Hayes, Alan, Ho, Lewis, Hooker, Sara, Horvitz, Eric, Kolt, Noam, Schuett, Jonas, Shavit, Yonadav, Siddarth, Divya, Trager, Robert, Wolf, Kevin
Advanced AI models hold the promise of tremendous benefits for humanity, but society needs to proactively manage the accompanying risks. In this paper, we focus on what we term "frontier AI" models: highly capable foundation models that could possess
Externí odkaz:
http://arxiv.org/abs/2307.03718