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SSRN Electronic JournalGenerativeAI (GenAI) is a buzz term in the field of Artificial Intelligence (AI). It is a branch of AI, which has the capability to create content in various forms such as text, audio and video, by leveraging patterns in existing data. GenAI utilizes variety of Machine Learning and Deep Learning algorithms.
Thumala Srinivasa Rao +4 more
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International Journal of Advanced Engineering and Nano Technology, 2023 Recent advancements in generative artificial intelligence (AI) have made it possible for machines to independently produce a variety of creative content. In the context of producing creative content, this essay examines the developments, difficulties, and ethical issues relating to generative AI.
Stefan Feuerriegel +3 more
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Deep Generative Modeling of LiDAR Data [PDF]
, 2019 Building models capable of generating structured output is a key challenge for AI and robotics. While generative models have been explored on many types of data, little work has been done on synthesizing lidar scans, which play a key role in robot ...
Caccia, Lucas +3 more
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Differentially Private Mixture of Generative Neural Networks [PDF]
, 2017 Generative models are used in a wide range of applications building on large amounts of contextually rich information. Due to possible privacy violations of the individuals whose data is used to train these models, however, publishing or sharing ...
Acs, Gergely +3 more
core +5 more sources
Spectral Detection on Sparse Hypergraphs [PDF]
, 2015 We consider the problem of the assignment of nodes into communities from a set of hyperedges, where every hyperedge is a noisy observation of the community assignment of the adjacent nodes.
Angelini, Maria Chiara +3 more
core +4 more sources
Adversarial Learned Molecular Graph Inference and Generation
, 2020 Recent methods for generating novel molecules use graph representations of molecules and employ various forms of graph convolutional neural networks for inference.
Pölsterl, Sebastian +1 more
core +1 more source
Future Internet, 2023 Generative artificial intelligence (AI) has emerged as a powerful technology with numerous applications in various domains. There is a need to identify the requirements and evaluation metrics for generative AI models designed for specific tasks.
Ajay Bandi +2 more
doaj +1 more source
Synthetic-Neuroscore: Using A Neuro-AI Interface for Evaluating Generative Adversarial Networks
, 2020 Generative adversarial networks (GANs) are increasingly attracting attention in the computer vision, natural language processing, speech synthesis and similar domains. Arguably the most striking results have been in the area of image synthesis.
Healy, Graham +4 more
core +2 more sources
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