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GenerativeAI (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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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
semanticscholar +11 more sources
Students’ voices on generative AI: perceptions, benefits, and challenges in higher education [PDF]
This study explores university students’ perceptions of generative AI (GenAI) technologies, such as ChatGPT, in higher education, focusing on familiarity, their willingness to engage, potential benefits and challenges, and effective integration. A survey
C. Chan, Wenjie Hu
semanticscholar +1 more source
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT [PDF]
Recently, ChatGPT, along with DALL-E-2 and Codex,has been gaining significant attention from society. As a result, many individuals have become interested in related resources and are seeking to uncover the background and secrets behind its impressive ...
Yihan Cao +6 more
semanticscholar +1 more source
Intelligent Clinical Documentation: Harnessing Generative AI for Patient-Centric Clinical Note Generation [PDF]
Comprehensive clinical documentation is crucial for effective healthcare delivery, yet it poses a significant burden on healthcare professionals, leading to burnout, increased medical errors, and compromised patient safety.
Anjanava Biswas, Wrick Talukdar
semanticscholar +1 more source
scGPT: toward building a foundation model for single-cell multi-omics using generative AI
Generative pretrained models have achieved remarkable success in various domains such as language and computer vision. Specifically, the combination of large-scale diverse datasets and pretrained transformers has emerged as a promising approach for ...
Haotian Cui +6 more
semanticscholar +1 more source
AI generations: from AI 1.0 to AI 4.0
This paper proposes that Artificial Intelligence (AI) progresses through several overlapping generations: AI 1.0 (Information AI), AI 2.0 (Agentic AI), AI 3.0 (Physical AI), and a speculative AI 4.0 (Conscious AI). Each AI generation is driven by shifting priorities among algorithms, computing power, and data.
Jiahao Wu, Hengxu You, Jing Du
openaire +3 more sources
Governance of Generative AI in Creative Work: Consent, Credit, Compensation, and Beyond [PDF]
Since the emergence of generative AI, creative workers have spoken up about the career-based harms they have experienced arising from this new technology.
Lin Kyi +5 more
semanticscholar +1 more source
Review of: "Digital Persona: Reflection on the Power of Generative AI for Customer Profiling in Social Media Marketing" [PDF]
Syed Mohammad Faisal
openalex +1 more source
Generative AI in Higher Education: Balancing Innovation and Integrity
Generative Artificial Intelligence (GenAI) is rapidly transforming the landscape of higher education, offering novel opportunities for personalised learning and innovative assessment methods.
Nigel J. Francis +2 more
semanticscholar +1 more source

