Zobrazeno 1 - 10
of 3 088
pro vyhledávání: '"P. Feldstein"'
Autor:
Feldstein-Bofill, David, Sun, Zhenhai, Wied, Casper, Singh, Shikhar, Isakov, Brian D., Krøjer, Svend, Hastrup, Jacob, Gyenis, András, Kjaergaard, Morten
The development of quantum circuits based on hybrid superconductor-semiconductor Josephson junctions holds promise for exploring their mesoscopic physics and for building novel superconducting devices. The gate-tunable superconducting transmon qubit
Externí odkaz:
http://arxiv.org/abs/2412.11611
Integrating symbolic techniques with statistical ones is a long-standing problem in artificial intelligence. The motivation is that the strengths of either area match the weaknesses of the other, and $\unicode{x2013}$ by combining the two $\unicode{x
Externí odkaz:
http://arxiv.org/abs/2410.22077
Probabilistic logical models are a core component of neurosymbolic AI and are important models in their own right for tasks that require high explainability. Unlike neural networks, logical models are often handcrafted using domain expertise, making
Externí odkaz:
http://arxiv.org/abs/2409.16238
Autor:
Joseph A. Lewnard, Parag Mahale, Debbie Malden, Vennis Hong, Bradley K. Ackerson, Bruno J. Lewin, Ruth Link-Gelles, Leora R. Feldstein, Marc Lipsitch, Sara Y. Tartof
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract The SARS-CoV-2 BA.2.86 lineage, and its sublineage JN.1 in particular, achieved widespread transmission in the US during winter 2023–24. However, this surge in infections was not accompanied by COVID-19 hospitalizations and mortality comme
Externí odkaz:
https://doaj.org/article/bfa149cc07db440b801afb35ef79d451
Parallel neurosymbolic architectures have been applied effectively in NLP by distilling knowledge from a logic theory into a deep model.However, prior art faces several limitations including supporting restricted forms of logic theories and relying o
Externí odkaz:
http://arxiv.org/abs/2306.00480
Structure learning is a core problem in AI central to the fields of neuro-symbolic AI and statistical relational learning. It consists in automatically learning a logical theory from data. The basis for structure learning is mining repeating patterns
Externí odkaz:
http://arxiv.org/abs/2302.04599
Autor:
Nicola Santoro, Ariel E. Feldstein
Publikováno v:
Frontiers in Endocrinology, Vol 15 (2024)
Externí odkaz:
https://doaj.org/article/1cc80d8cc5e944c79ea462a6806cbc91
Publikováno v:
Frontiers in Psychiatry, Vol 15 (2024)
BackgroundCannabis use can have unintended, harmful consequences for adolescents, a developmental group that struggles with heightened pressure to align with peer attitudes and behaviors. The role of social-cognitive factors in shifting cannabis use
Externí odkaz:
https://doaj.org/article/ed8e50c719c3461098a4fe4c8e5d0857
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 12 (2024)
Externí odkaz:
https://doaj.org/article/25d68e1160a5408986fd068fa269e20b
Publikováno v:
Cellular and Molecular Gastroenterology and Hepatology, Vol 17, Iss 3, Pp 481-497 (2024)
Background & Aims: Breast regression protein 39 (BRP39) (Chi3L1) and its human homolog YKL-40, is an established biomarker of liver fibrosis in nonalcoholic steatohepatitis (NASH) patients, but its role in NASH pathogenesis remains unclear. We recent
Externí odkaz:
https://doaj.org/article/0912e3a866a448f6a829e475f32d388a