Zobrazeno 1 - 10
of 763
pro vyhledávání: '"Simhon, A."'
We present rotating solutions of Einstein's gravity coupled to an effective Born-Infeld theory that describes the end of open-string tachyon condensation after the decay of an unstable $D$-brane or a brane-antibrane system. The geometry of these solu
Externí odkaz:
http://arxiv.org/abs/2409.06454
The frozen star is a recent proposal for a non-singular solution of Einstein's equations that describes an ultracompact object which closely resembles a black hole from an external perspective. The frozen star is also meant to be an alternative, clas
Externí odkaz:
http://arxiv.org/abs/2310.11572
Neutron-induced fission cross-section studies are being pursued with a double Frisch grid fission detector. We are working towards conducting neutron-induced fission cross-section measurements of high priority 241Am(n, f) and 244,245Cm(n, f) fission
Externí odkaz:
http://arxiv.org/abs/2310.00779
We have proposed a model geometry for the interior of a regular black hole mimicker, the frozen star, whose most startling feature is that each spherical shell in its interior is a surface of infinite redshift. The geometry is a solution of the Einst
Externí odkaz:
http://arxiv.org/abs/2301.09712
Autor:
Drori, Iddo, Zhang, Sarah J., Shuttleworth, Reece, Zhang, Sarah, Tyser, Keith, Chin, Zad, Lantigua, Pedro, Surbehera, Saisamrit, Hunter, Gregory, Austin, Derek, Tang, Leonard, Hicke, Yann, Simhon, Sage, Karnik, Sathwik, Granberry, Darnell, Udell, Madeleine
A final exam in machine learning at a top institution such as MIT, Harvard, or Cornell typically takes faculty days to write, and students hours to solve. We demonstrate that large language models pass machine learning finals at a human level, on fin
Externí odkaz:
http://arxiv.org/abs/2206.05442
Publikováno v:
In Plant Science November 2024 348
Publikováno v:
IEEE Access, Vol 12, Pp 78342-78353 (2024)
Deep reinforcement learning (DRL) is a prevalent learning method in robotics. DRL is commonly applied in real-world scenarios, such as learning motion behavior in rough terrain. However, the lengthy learning epochs reduce DRL practicability in many s
Externí odkaz:
https://doaj.org/article/818f2b6ee38a4b738b71bf719c1c5cce
Autor:
Wang, Taiyao, Hansen, Kyle R., Loving, Joshua, Paschalidis, Ioannis Ch., van Aggelen, Helen, Simhon, Eran
Antimicrobial resistance (AMR) is a risk for patients and a burden for the healthcare system. However, AMR assays typically take several days. This study develops predictive models for AMR based on easily available clinical and microbiological predic
Externí odkaz:
http://arxiv.org/abs/2111.03575
In the hospital setting, a small percentage of recurrent frequent patients contribute to a disproportional amount of healthcare resource usage. Moreover, in many of these cases, patient outcomes can be greatly improved by reducing reoccurring visits,
Externí odkaz:
http://arxiv.org/abs/2110.13769
We have recently proposed a model for a regular black hole, or an ultra-compact object, that is premised on having maximally negative radial pressure throughout the entirety of the object's interior. This model can be viewed as that of a highly entro
Externí odkaz:
http://arxiv.org/abs/2109.10017