Artificial intelligence for geoscience: Progress, challenges and perspectives
This paper explores the evolution of geoscientific inquiry, tracing the progression from
traditional physics-based models to modern data-driven approaches facilitated by significant …
traditional physics-based models to modern data-driven approaches facilitated by significant …
A comprehensive survey of artificial intelligence techniques for talent analytics
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 …
organizations to rethink how to make talent-related decisions in a quantitative manner …
ChatGPT promises and challenges in education: Computational and ethical perspectives
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 …
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 …
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
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 …
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
Integrated satellite, aerial, and terrestrial networks (ISATNs) represent a sophisticated
convergence of diverse communication technologies to ensure seamless connectivity …
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 …
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
This paper provides a comprehensive review of the future of cybersecurity through
Generative AI and Large Language Models (LLMs). We explore LLM applications across …
Generative AI and Large Language Models (LLMs). We explore LLM applications across …
Advanced deep learning models for 6G: overview, opportunities and challenges
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 …
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 …
applied to language teaching and learning. This study investigates the transformative …