Unleashing the power of edge-cloud generative ai in mobile networks: A survey of aigc services
Artificial Intelligence-Generated Content (AIGC) is an automated method for generating,
manipulating, and modifying valuable and diverse data using AI algorithms creatively. This …
manipulating, and modifying valuable and diverse data using AI algorithms creatively. This …
Enhancing Work Productivity through Generative Artificial Intelligence: A Comprehensive Literature Review
In this review, utilizing the PRISMA methodology, a comprehensive analysis of the use of
Generative Artificial Intelligence (GAI) across diverse professional sectors is presented …
Generative Artificial Intelligence (GAI) across diverse professional sectors is presented …
A unified framework for integrating semantic communication and ai-generated content in metaverse
As the Metaverse continues to grow, the need for efficient communication and intelligent
content generation becomes increasingly important. Semantic communication focuses on …
content generation becomes increasingly important. Semantic communication focuses on …
An overview on generative ai at scale with edge-cloud computing
As a specific category of artificial intelligence (AI), generative artificial intelligence (GenAI)
generates new content that resembles what humans create. The rapid development of …
generates new content that resembles what humans create. The rapid development of …
Sparks of generative pretrained transformers in edge intelligence for the metaverse: Caching and inference for mobile artificial intelligence-generated content services
Aiming at achieving artificial general intelligence (AGI) for the metaverse, pretrained
foundation models (PFMs), eg, generative pretrained transformers (GPTs), can effectively …
foundation models (PFMs), eg, generative pretrained transformers (GPTs), can effectively …
Sparks of GPTs in edge intelligence for metaverse: caching and inference for mobile AIGC services
Aiming at achieving artificial general intelligence (AGI) for Metaverse, pretrained foundation
models (PFMs), eg, generative pretrained transformers (GPTs), can effectively provide …
models (PFMs), eg, generative pretrained transformers (GPTs), can effectively provide …
Joint foundation model caching and inference of generative AI services for edge intelligence
With the rapid development of artificial general intelligence (AGI), various multimedia
services based on pretrained foundation models (PFMs) need to be effectively deployed …
services based on pretrained foundation models (PFMs) need to be effectively deployed …
VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel Synthesis
We present a data-driven generative framework for synthesizing blood vessel 3D geometry.
This is a challenging task due to the complexity of vascular systems, which are highly …
This is a challenging task due to the complexity of vascular systems, which are highly …
Multi-agent rl-based industrial aigc service offloading over wireless edge networks
S Li, X Lin, H Xu, K Hua, X Jin, G Li, J Li - arXiv preprint arXiv:2405.02972, 2024 - arxiv.org
Currently, the generative model has garnered considerable attention due to its application in
addressing the challenge of scarcity of abnormal samples in the industrial Internet of Things …
addressing the challenge of scarcity of abnormal samples in the industrial Internet of Things …
End-to-end Autonomous Driving using Deep Learning: A Systematic Review
A Singh - arXiv preprint arXiv:2311.18636, 2023 - arxiv.org
End-to-end autonomous driving is a fully differentiable machine learning system that takes
raw sensor input data and other metadata as prior information and directly outputs the ego …
raw sensor input data and other metadata as prior information and directly outputs the ego …