Results 1 to 10 of about 162,085 (160)
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, Bandi Ajay
exaly +3 more sources
The term "generative AI" refers to computational techniques that are capable of generating seemingly new, meaningful content such as text, images, or audio from training data. The widespread diffusion of this technology with examples such as Dall-E 2, GPT-4, and Copilot is currently revolutionizing the way we work and communicate with each other.
Stefan Feuerriegel +3 more
openaire +6 more sources
Abstract We study the staggered introduction of a generative AI–based conversational assistant using data from 5,172 customer-support agents. Access to AI assistance increases worker productivity, as measured by issues resolved per hour, by 15% on average, with substantial heterogeneity across workers.
Brynjolfsson, Erik +2 more
openaire +2 more sources
Talkin’ ‘Bout AI Generation: Copyright and the Generative AI Supply Chain
"Does generative AI infringe copyright?" is an urgent question. It is also a difficult question, for two reasons. First, "generative AI" is not just one product from one company. It is a catch-all name for a massive ecosystem of loosely related technologies, including conversational text chatbots like ChatGPT, image generators like Midjourney and DALL ...
Katherine Lee +2 more
openaire +2 more sources
This book is essential for anyone eager to understand the groundbreaking advancements in generative AI and its transformative effects across industries, making it a valuable resource for both professional growth and creative inspiration. Generative AI: Disruptive Technologies for Innovative Applications delves into the exciting and rapidly evolving ...
Pagel, Jonathan +6 more
+14 more sources
Mindstorms in natural language-based societies of mind
Inspired 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
On the usability of generative AI: Human generative AI
Generative AI systems are transforming content creation, but their usability remains a key challenge. This paper examines usability factors such as user experience, transparency, control, and cognitive load. Common challenges include unpredictability and difficulties in fine-tuning outputs.
Anna Ravera, Cristina Gena
openaire +2 more sources
Towards automated metaphase cell detection using foundation models: A SAM and DINO-based approach
Karyotyping is a widely used laboratory technique to detect abnormalities in chromosomes. Karyotyping consists of many steps, including collecting samples, cell culturing and metaphase cell detection.
M. Cihad Arslanoglu +2 more
doaj +1 more source
The Age of Generative AI and AI-Generated Everything
Generative AI (GAI) has emerged as a significant advancement in artificial intelligence, renowned for its language and image generation capabilities. This paper presents ``AI-Generated Everything'' (AIGX), a concept that extends GAI beyond mere content creation to real-time adaptation and control across diverse technological domains.
Hongyang Du 0001 +11 more
openaire +2 more sources
Generative AI has garnered global attention. This study aims to explore the association between generative AI self-efficacy and generative AI acceptance among university students and underlying mechanisms. A sample of 353 university students in China was
Gen Zhang, Tingrong Yu
doaj +1 more source

