Artificial intelligence for geoscience: Progress, challenges and perspectives

T Zhao, S Wang, C Ouyang, M Chen, C Liu, J Zhang… - The Innovation, 2024 - cell.com
This paper explores the evolution of geoscientific inquiry, tracing the progression from
traditional physics-based models to modern data-driven approaches facilitated by significant …

A comprehensive survey of artificial intelligence techniques for talent analytics

C Qin, L Zhang, Y Cheng, R Zha, D Shen… - arxiv preprint arxiv …, 2023 - arxiv.org
In today's competitive and fast-evolving business environment, it is a critical time for
organizations to rethink how to make talent-related decisions in a quantitative manner …

ChatGPT promises and challenges in education: Computational and ethical perspectives

A Adel, A Ahsan, C Davison - Education Sciences, 2024 - search.proquest.com
This paper investigates the integration of ChatGPT into educational environments, focusing
on its potential to enhance personalized learning and the ethical concerns it raises. Through …

[HTML][HTML] A state-of-the-art review in big data management engineering: Real-life case studies, challenges, and future research directions

The explosion of data volume in the digital age has completely changed the corporate and
industrial environments. In-depth analysis of large datasets to support strategic decision …

Privacy preservation in Artificial Intelligence and Extended Reality (AI-XR) metaverses: A survey

M Alkaeed, A Qayyum, J Qadir - Journal of Network and Computer …, 2024 - Elsevier
The metaverse is a nascent concept that envisions a virtual universe, a collaborative space
where individuals can interact, create, and participate in a wide range of activities. Privacy in …

Leveraging large language models for integrated satellite-aerial-terrestrial networks: recent advances and future directions

S Javaid, RA Khalil, N Saeed, B He… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
Integrated satellite, aerial, and terrestrial networks (ISATNs) represent a sophisticated
convergence of diverse communication technologies to ensure seamless connectivity …

[PDF][PDF] Multimodal integration in large language models: A case study with mistral llm

F Hamzah, N Sulaiman - 2024 - files.osf.io
This work presents significant advancements in the multimodal capabilities of the Mistral
8x7B model, a large language model designed with eight experts of seven billion …

Generative ai and large language models for cyber security: All insights you need

MA Ferrag, F Alwahedi, A Battah, B Cherif… - Available at SSRN …, 2024 - papers.ssrn.com
This paper provides a comprehensive review of the future of cybersecurity through
Generative AI and Large Language Models (LLMs). We explore LLM applications across …

Advanced deep learning models for 6G: overview, opportunities and challenges

L Jiao, Y Shao, L Sun, F Liu, S Yang, W Ma, L Li… - IEEE …, 2024 - ieeexplore.ieee.org
The advent of the sixth generation of mobile communications (6G) ushers in an era of
heightened demand for advanced network intelligence to tackle the challenges of an …

The impact of AI-enhanced natural language processing tools on writing proficiency: an analysis of language precision, content summarization, and creative writing …

D Zhao - Education and Information Technologies, 2024 - Springer
Artificial intelligence is revolutionizing the education landscape and has been widely
applied to language teaching and learning. This study investigates the transformative …