In a study published in the journal Information Systems Research, Texas Tech University's Shuo Yu and his collaborators ...

The emergence of generative artificial intelligence (AI) indicates a paradigm shift in military research and application, ...

Generative A.I. chatbots are going down conspiratorial rabbit holes and endorsing wild, mystical belief systems. For some people, conversations with the technology can deeply distort reality.

Generative adversarial networks (GANs) have recently become a hot research topic; however, they have been studied since 2014, and a large number of algorithms have been proposed. Nevertheless, few ...

Neural networks called generative adversarial networks (GANs) can produce literature, music, pictures, and voice that resembles human-produced content.

While bigger datasets are one catalyst that led to the generative AI boom, a variety of major research advances also led to more complex deep-learning architectures. In 2014, a machine-learning ...

This paper proposes a Wasserstein generative adversarial network model with a gradient penalty (RSWGAN-GP) to solve reverberation suppression of sonar signals. Sonar signals are different from the ...

Unlock the potential of generative AI and explore how this revolutionary technology is democratizing creativity and redefining the concept of originality.

2014: The introduction of generative adversarial networks (GANs) by Ian Goodfellow propels the field of generative AI forward.

Generative Adversarial Networks (GANs) are a fascinating branch of artificial intelligence that have gained significant popularity in recent years due to their ability to create new, unique, and often ...