Zobrazeno 1 - 10
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pro vyhledávání: '"Sreedharan"'
Publikováno v:
FRPT- Infrastructure Snapshot. 5/14/2023, p7-8. 2p.
From its inception, AI has had a rather ambivalent relationship with humans -- swinging between their augmentation and replacement. Now, as AI technologies enter our everyday lives at an ever increasing pace, there is a greater need for AI systems to
Externí odkaz:
http://arxiv.org/abs/2405.15804
"Human-aware" has become a popular keyword used to describe a particular class of AI systems that are designed to work and interact with humans. While there exists a surprising level of consistency among the works that use the label human-aware, the
Externí odkaz:
http://arxiv.org/abs/2405.07773
Autor:
Mechergui, Malek, Sreedharan, Sarath
Detecting and handling misspecified objectives, such as reward functions, has been widely recognized as one of the central challenges within the domain of Artificial Intelligence (AI) safety research. However, even with the recognition of the importa
Externí odkaz:
http://arxiv.org/abs/2404.08791
One of the most difficult challenges in creating successful human-AI collaborations is aligning a robot's behavior with a human user's expectations. When this fails to occur, a robot may misinterpret their specified goals, prompting it to perform act
Externí odkaz:
http://arxiv.org/abs/2404.15184
Autor:
Sanitha, Adithya Sreedharan1 adithyass67@gmail.com, Sinha, Sujeet Kumar2
Publikováno v:
American Journal of Audiology. Dec2024, Vol. 33 Issue 4, p1257-1269. 13p.
This is the first work to look at the application of large language models (LLMs) for the purpose of model space edits in automated planning tasks. To set the stage for this union, we explore two different flavors of model space problems that have be
Externí odkaz:
http://arxiv.org/abs/2311.13720
Publikováno v:
Annals of Indian Academy of Neurology, Vol 27, Iss 5, Pp 512-519 (2024)
Background and Objectives: Ischemic stroke (IS) in young is increasingly recognized as an important health problem in low- and middle-income countries (LMICs). Limited data is available from LMICs about the predictors of outcome and recurrence of IS
Externí odkaz:
https://doaj.org/article/6125207912fe4be3a1f758edf8a5e205
Publikováno v:
Automatika, Vol 65, Iss 4, Pp 1325-1338 (2024)
Speech emotion recognition (SER) is attractive in several domains, such as automated translation, call centres, intelligent healthcare, and human–computer interaction. Deep learning models for emotion identification need considerable labelled data,
Externí odkaz:
https://doaj.org/article/3f606f9c9a944091bd8cdf7041ebaca6