anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a chatbot is more humanlike and aware than it actually is, like believing it's ...

Abstract: Deep neural networks are increasingly used in image processing tasks. However, deep learning models often show vulnerability when facing adversarial attacks. Active defense is an important ...

ABSTRACT: This paper proposes a structured data prediction method based on Large Language Models with In-Context Learning (LLM-ICL). The method designs sample selection strategies to choose samples ...

ESET researchers provide insights into how PlushDaemon performs adversary-in-the-middle attacks using a previously undocumented network implant that we have named EdgeStepper, which redirects all DNS ...

Learn how to use generative fill on moving videos in After Effects! This tutorial teaches step-by-step techniques to seamlessly enhance dynamic footage with AI-powered effects. #AfterEffects ...

AT&T is using a generative AI system to help control network operations, a move that the carrier said is a step toward greater network autonomy. Raj Savoor, VP of network analytics and automation at ...

From job displacement and plagiarism to questions about accuracy and privacy risks, generative artificial intelligence — or genAI — is fraught the kinds of issues you’d expect from such disruptive ...

Generative AI is no longer a promise for the distant future for IT departments. It is on its way to becoming a practical tool that will change the way networks are managed. Traditional network ...

Forbes contributors publish independent expert analyses and insights. I am an MIT Senior Fellow & Lecturer, 5x-founder & VC investing in AI AI is big and powerful – many humans with even a passing ...

Abstract: The deep learning ability to recognize patterns in data has recently become popular within education. Created in 2014, generative adversarial networks (GANs) are innovative classes of deep ...