Topic: AI Agent emerging investigator

Artificial intelligence (AI) is rapidly transforming scientific research, industrial innovation, and everyday life. Recent advances in foundation models, intelligent agents, and AI-driven systems have opened new opportunities for autonomous decision-making, scientific discovery, and real-world problem-solving. As the field continues to evolve, recognizing outstanding research, supporting researchers, and fostering knowledge exchange are essential to advancing the development and application of AI technologies.

This Special Issue aims to recognize and support researchers who are making significant contributions to the advancement of AI, while highlighting high-quality research and innovative achievements across the field. It seeks to provide a dedicated platform for researchers to showcase their work, share emerging ideas, and engage with the global AI community. By bringing together advances in foundational AI technologies, cross-industry applications, enabling infrastructure, and responsible AI, this Special Issue aims to facilitate interdisciplinary collaboration and promote the broader impact of AI research.

Topics of interest include, but are not limited to:

1. Foundation Models and Intelligent Agents

Large language models (LLMs), vision-language models, and multimodal agents

Autonomous decision-making, tool-using agents, and memory-augmented systems

Agent orchestration frameworks and automated AI workflows

2. Vertical Applications Across Industries

Science and Materials: AI-driven scientific discovery, automated laboratories, simulation agents, and digital twins

Energy and Climate: AI for sustainability, smart grids, and carbon reduction

Healthcare and Biotechnology: Intelligent diagnosis, drug discovery, and medical agents

Finance and Business: Trading agents, market modeling, and enterprise automation

Manufacturing and Robotics: Smart factories, intelligent logistics, and autonomous robotics

Media and AIGC: Generative content, virtual agents, and AI applications in film, art, and game design

3. AI Infrastructure, Databases, and Software Systems

AI software tools, open-source platforms, and intelligent agent frameworks

Scientific and industrial databases, including their development, curation, and integration into AI workflows

Multi-agent environments, simulation platforms, and benchmarking systems

Distributed training, model deployment, and scalable inference architectures

4. Trustworthy, Human-Centered, and Responsible AI

Explainability, safety, and alignment of AI agents

Human–AI collaboration, interaction design, and digital labor

Ethical and legal considerations in real-world AI deployment