Zobrazeno 1 - 10
of 3 418
pro vyhledávání: '"A Vinodkumar"'
Publikováno v:
Radiation Protection and Environment, Vol 45, Iss 3, Pp 127-130 (2022)
Very low-level radioactive liquid effluents much below the approved discharge limits are discharged to Kadra reservoir after dilution with condenser cooling water at Kaiga Generating Station. In addition, further dilution occurs from the discharge po
Externí odkaz:
https://doaj.org/article/45459f998819464dba0af8452b53cc97
Autor:
Rastogi, Charvi, Teh, Tian Huey, Mishra, Pushkar, Patel, Roma, Ashwood, Zoe, Davani, Aida Mostafazadeh, Diaz, Mark, Paganini, Michela, Parrish, Alicia, Wang, Ding, Prabhakaran, Vinodkumar, Aroyo, Lora, Rieser, Verena
AI systems crucially rely on human ratings, but these ratings are often aggregated, obscuring the inherent diversity of perspectives in real-world phenomenon. This is particularly concerning when evaluating the safety of generative AI, where percepti
Externí odkaz:
http://arxiv.org/abs/2410.17032
The running coupling constant is calculated using the imaginary time formalism (ITF) of thermal field theory under the self-energy approximation. In the process, each Feynman diagram in thermal field theory is rewritten as the summation of non-therma
Externí odkaz:
http://arxiv.org/abs/2410.15300
Publikováno v:
Radiation Protection and Environment, Vol 44, Iss 3, Pp 131-134 (2021)
Studies on foliar uptake of tritiated water (HTO) on Spinach sp. during light and dark condition was simulated inside the environmental chamber, and an attempt was made to compute CTFWTHTO, CpfwHTO, CpcwOBT, CpfwOBT using basic equations available in
Externí odkaz:
https://doaj.org/article/4279d43230eb4619823055f4adebf387
Autor:
Kannen, Nithish, Ahmad, Arif, Andreetto, Marco, Prabhakaran, Vinodkumar, Prabhu, Utsav, Dieng, Adji Bousso, Bhattacharyya, Pushpak, Dave, Shachi
Text-to-Image (T2I) models are being increasingly adopted in diverse global communities where they create visual representations of their unique cultures. Current T2I benchmarks primarily focus on faithfulness, aesthetics, and realism of generated im
Externí odkaz:
http://arxiv.org/abs/2407.06863
Autor:
Chien, Jennifer, Bergman, A. Stevie, McKee, Kevin R., Tomasev, Nenad, Prabhakaran, Vinodkumar, Qadri, Rida, Marchal, Nahema, Isaac, William
Algorithmic fairness has emerged as a critical concern in artificial intelligence (AI) research. However, the development of fair AI systems is not an objective process. Fairness is an inherently subjective concept, shaped by the values, experiences,
Externí odkaz:
http://arxiv.org/abs/2407.16895
While human annotations play a crucial role in language technologies, annotator subjectivity has long been overlooked in data collection. Recent studies that have critically examined this issue are often situated in the Western context, and solely do
Externí odkaz:
http://arxiv.org/abs/2404.10857
Generative language models are transforming our digital ecosystem, but they often inherit societal biases, for instance stereotypes associating certain attributes with specific identity groups. While whether and how these biases are mitigated may dep
Externí odkaz:
http://arxiv.org/abs/2404.05866
While generative multilingual models are rapidly being deployed, their safety and fairness evaluations are largely limited to resources collected in English. This is especially problematic for evaluations targeting inherently socio-cultural phenomena
Externí odkaz:
http://arxiv.org/abs/2403.05696
Publikováno v:
Advances in Difference Equations, Vol 2018, Iss 1, Pp 1-12 (2018)
Abstract In this paper, we establish some criteria on robust exponential stability by using the formula for the variation of parameters and estimating the Cauchy matrix. More importantly, the robust stability criteria do not require the stability of
Externí odkaz:
https://doaj.org/article/dcea50917d1e42c29e535edb23a4ffc6