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As the boundaries of human computer interaction expand, Generative AI emerges as a key driver in reshaping user interfaces, introducing new possibilities for personalized, multimodal and cross-platform interactions. This integration…

人机交互 · 计算机科学 2024-11-18 J. Bieniek , M. Rahouti , D. C. Verma

Semantic communication aims to facilitate purposeful information exchange among diverse intelligent entities, including humans, machines, and organisms. It emphasizes precise semantic transmission over data fidelity, striving for meaningful…

密码学与安全 · 计算机科学 2024-07-09 Yuntao Wang

Generative AI (GenAI) is transforming filmmaking, equipping artists with tools like text-to-image and image-to-video diffusion, neural radiance fields, avatar generation, and 3D synthesis. This paper examines the adoption of these…

The trajectories of 6G and AI are set for a creative collision. However, current visions for 6G remain largely incremental evolutions of 5G, while progress in AI is hampered by brittle, data-hungry models that lack robust reasoning…

机器学习 · 计算机科学 2025-05-28 Mehdi Bennis , Salem Lahlou

Artificial Intelligence Generated Content (AIGC) Services have significant potential in digital content creation. The distinctive abilities of AIGC, such as content generation based on minimal input, hold huge potential, especially when…

网络与互联网体系结构 · 计算机科学 2024-01-23 Guangyuan Liu , Hongyang Du , Dusit Niyato , Jiawen Kang , Zehui Xiong , Dong In Kim , Xuemin , Shen

Artificial intelligence (AI) is ushering in a new era for communication. As a result, the establishment of a semantic communication framework is putting on the agenda. Based on a realistic semantic communication model, this paper develops a…

信息论 · 计算机科学 2025-09-15 Yi-Qun Zhao , Zhi-Ming Ma , Geoffrey Ye Li , Shuai Yuan , Tong Ye , Chuan Zhou

Semantic communications represent a significant breakthrough with respect to the current communication paradigm, as they focus on recovering the meaning behind the transmitted sequence of symbols, rather than the symbols themselves. In…

信号处理 · 电气工程与系统科学 2023-09-06 S. Barbarossa , D. Comminiello , E. Grassucci , F. Pezone , S. Sardellitti , P. Di Lorenzo

This paper explores the critical transition from Generative Artificial Intelligence (GenAI) to Innovative Artificial Intelligence (InAI). While recent advancements in GenAI have enabled systems to produce high-quality content across various…

机器学习 · 计算机科学 2025-03-17 Seyed Mahmoud Sajjadi Mohammadabadi

The rapid advancement of Artificial Intelligence (AI) has catalyzed revolutionary changes across various sectors, notably in healthcare. In particular, generative AI-led by diffusion models and transformer architectures-has enabled…

This paper offers an insightful examination of how currently top-trending AI technologies, i.e., generative artificial intelligence (Generative AI) and large language models (LLMs), are reshaping the field of video technology, including…

计算机视觉与模式识别 · 计算机科学 2024-04-26 Pengyuan Zhou , Lin Wang , Zhi Liu , Yanbin Hao , Pan Hui , Sasu Tarkoma , Jussi Kangasharju

Generative artificial intelligence (AI) is rapidly transforming medical imaging by enabling capabilities such as data synthesis, image enhancement, modality translation, and spatiotemporal modeling. This review presents a comprehensive and…

图像与视频处理 · 电气工程与系统科学 2025-08-14 Xuanru Zhou , Cheng Li , Shuqiang Wang , Ye Li , Tao Tan , Hairong Zheng , Shanshan Wang

Generative AI models have revolutionized various fields by enabling the creation of realistic and diverse data samples. Among these models, diffusion models have emerged as a powerful approach for generating high-quality images, text, and…

计算机视觉与模式识别 · 计算机科学 2024-02-27 Gaurav Raut , Apoorv Singh

The emergence of Generative AI features in news applications may radically change news consumption and challenge journalistic practices. To explore the future potentials and risks of this understudied area, we created six design fictions…

Technological progress has persistently shaped the dynamics of human-machine interactions in task execution. In response to the advancements in Generative AI, this paper outlines a detailed study plan that investigates various human-AI…

人机交互 · 计算机科学 2024-02-13 Zijian Ding

In this paper, we delve into the rapidly evolving challenge of misinformation detection, with a specific focus on the nuanced manipulation of narrative frames - an under-explored area within the AI community. The potential for Generative AI…

计算与语言 · 计算机科学 2024-02-27 Guan Wang , Rebecca Frederick , Jinglong Duan , William Wong , Verica Rupar , Weihua Li , Quan Bai

In the fast-evolving field of information retrieval (IR), the integration of generative AI technologies such as large language models (LLMs) is transforming how users search for and interact with information. Recognizing this paradigm shift…

信息检索 · 计算机科学 2024-12-04 James Allan , Eunsol Choi , Daniel P. Lopresti , Hamed Zamani

Recent advancements in diffusion models have made a significant breakthrough in generative modeling. The combination of the generative model and semantic communication (SemCom) enables high-fidelity semantic information exchange at…

信号处理 · 电气工程与系统科学 2024-10-10 Chunmei Xu , Mahdi Boloursaz Mashhadi , Yi Ma , Rahim Tafazolli

The emergence of Generative Artificial Intelligence (AI) and Large Language Models (LLMs) has marked a new era of Natural Language Processing (NLP), introducing unprecedented capabilities that are revolutionizing various domains. This paper…

计算与语言 · 计算机科学 2024-08-26 Desta Haileselassie Hagos , Rick Battle , Danda B. Rawat

This work designs a novel semantic communication (SemCom) framework for the next-generation wireless network to tackle the challenges of unnecessary transmission of vast amounts that cause high bandwidth consumption, more latency, and…

网络与互联网体系结构 · 计算机科学 2023-10-16 Avi Deb Raha , Md. Shirajum Munir , Apurba Adhikary , Yu Qiao , Choong Seon Hong

The advent of Large Language Models (LLMs) and generative AI is fundamentally transforming information retrieval and processing on the Internet, bringing both great potential and significant concerns regarding content authenticity and…