Results 11 to 20 of about 181,529 (188)
The Dreaming Variational Autoencoder for Reinforcement Learning Environments [PDF]
, 2018 Reinforcement learning has shown great potential in generalizing over raw sensory data using only a single neural network for value optimization. There are several challenges in the current state-of-the-art reinforcement learning algorithms that prevent ...
K Arulkumaran +4 more
core +2 more sources
TextGAIL: Generative Adversarial Imitation Learning for Text Generation
, 2021 Generative Adversarial Networks (GANs) for text generation have recently received many criticisms, as they perform worse than their MLE counterparts. We suspect previous text GANs' inferior performance is due to the lack of a reliable guiding signal in ...
Li, Lei, Wu, Qingyang, Yu, Zhou
core +2 more sources
The Application of Generative Artificial Intelligence in Education: Potential, Challenges, and Strategies [PDF]
SHS Web of ConferencesIn the field of education, the application of generative artificial intelligence is gradually becoming a focus. This article explores the potential, challenges, and coping strategies of generative artificial intelligence in education. Firstly, generative
Yao Jianbin
doaj +1 more source
Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives [PDF]
, 2018 Over the past few years, adversarial training has become an extremely active research topic and has been successfully applied to various Artificial Intelligence (AI) domains.
Cummins, Nicholas +3 more
core +2 more sources
Frontiers in Education, 2023 The emergence of Chat GPT has once again sparked a wave of information revolution in generative artificial intelligence. This article provides a detailed overview of the development and technical support of generative artificial intelligence. It conducts
Hao Yu, Yunyun Guo
doaj +1 more source
Building Machines That Learn and Think Like People [PDF]
, 2016 Recent progress in artificial intelligence (AI) has renewed interest in building systems that learn and think like people. Many advances have come from using deep neural networks trained end-to-end in tasks such as object recognition, video games, and ...
Gershman, Samuel J. +3 more
core +3 more sources
Mindstorms in natural language-based societies of mind
Computational Visual MediaInspired by Minsky’s Society of Mind, Schmidhuber’s Learning to Think, and other more recent works, this paper proposes and advocates for the concept of natural language-based societies of mind (NLSOMs).
Mingchen Zhuge +25 more
doaj +1 more source
Education SciencesTechnological innovation has transformed educational settings, enabling artificial intelligence (AI)-driven teaching and learning processes. While AI is still in its embryonic stage in education, generative artificial intelligence has evolved rapidly ...
Birago Amofa +5 more
doaj +1 more source
Generality in artificial intelligence
Communications of the ACM, 1987 My 1971 Turing Award Lecture was entitled "Generality in Artificial Intelligence." The topic turned out to have been overambitious in that I discovered I was unable to put my thoughts on the subject in a satisfactory written form at that time. It would have been better to have reviewed my previous work rather than attempt something new, but such was ...
openaire +3 more sources
CommunicareThe arms race in generative artificial intelligence and artificial intelligence has transformed digital markets, with artificial-intelligence-powered platforms projected to drive market growth to nearly $740 billion by 2030.
Caroline Azionya
doaj +1 more source