Generative adversarial networks comprise two neural ... What is the difference between generative AI and machine learning? Generative AI is a subfield of artificial intelligence.

In recent years, artificial intelligence (AI) and deep learning models have advanced rapidly, becoming easily accessible. This has enabled people, even those without specialized expertise, to perform ...

Large language models can do impressive things, like write poetry or generate viable computer programs, even though these models are trained to predict words that come next in a piece of text.

NIST published details about a type of cyberattack unique to AI systems where attackers can “poison” data that might be used ...

On the other, there is attention being given to ensuring that generative AI does not unintentionally stifle student learning, especially where critical thinking and creativity are concerned.

A new study by Monash University learning analytics researchers presents key considerations for generative AI (GenAI) ...

In the world of technology, artificial intelligence (AI) has steadily advanced, influencing various fields such as healthcare ...

Where some online learning courses may have been ineffective, unengaging or even boring in the past, the use of generative AI, which can create original content from user prompts, allows educators to ...

It involves the use of machine learning models to recognize and analyze patterns to generate unique content. Variational auto-encoders (VAEs) and generative adversarial networks (GANs) are two deep ...

The University of Connecticut welcomed Dr. Jaime Banks for the Department of Communication’s Speaker Series yesterday, to share her research in human and machine interactions through AI.