Person Name
Research on "People" in the context of AI focuses on understanding and improving human-AI interaction across various domains. Current efforts center on enhancing AI's ability to accurately perceive and respond to human nuances, including emotional states, communication styles, and diverse physical characteristics, often employing large language models (LLMs), generative adversarial networks (GANs), and attention networks. This research is crucial for developing more inclusive and effective AI systems, improving accessibility for individuals with disabilities, and mitigating potential biases in AI applications.
Papers
Using machine learning algorithms to determine the post-COVID state of a person by his rhythmogram
Sergey Stasenko, Andrey Kovalchuk, Eremin Evgeny, Natalya Zarechnova, Maria Tsirkova, Sergey Permyakov, Sergey Parin, Sofia Polevaya
Using machine learning algorithms to determine the emotional disadaptation of a person by his rhythmogram
Sergey Stasenko, Olga Shemagina, Eremin Evgeny, Vladimir Yakhno, Sergey Parin, Sofia Polevaya