Workshop Description:
Call for Papers
The primary objective of the "Neural Computing and Applications Workshop 2024" is to foster an intense exchange of ideas and facilitate discussions on the latest advancements in neural computing and its diverse applications. This workshop seeks to address the growing demand for innovative neural computing methods, particularly in fields such as Natural Language Processing, Knowledge Graph, Semantic Web, and Service Computing. By bringing together researchers, practitioners, and students, this workshop aims to overcome current bottlenecks and enhance human decision-making capabilities through cutting-edge neural computing techniques.
Participants are encouraged to submit research papers on topics including, but not limited to, Neural Computing, Natural Language Processing, Knowledge Graph, Neural Networks, Semantic Web, and Service Computing. The workshop will provide a platform for the presentation of novel methodologies, intriguing insights, and new observations that contribute to the advancement of neural computing. The format will emphasize debates and discussions, promoting the development of future research ideas. Both students and faculty are invited to participate, ensuring a vibrant exchange of knowledge and ideas.
Background:
Neural Computing has achieved breakthroughs in areas such as Natural Language Processing, Knowledge Graph, Semantic Computing, and Service Computing. Despite various computational methods proposed to tackle practical challenges, researchers encounter some bottlenecks. With the rapid progress of Neural Computing in many fields, there is a growing demand for innovative methods. Therefore, the development of novel neural computing approaches and their application in real-world scenarios to address challenges and improve human decision-making capabilities has become imperative.
Goal/Rationale:
This workshop aims to gather papers focusing on neural computing and its applications, including Neural Computing, Natural Language Processing, Knowledge Graph, Neural Networks, Semantic Web, and Service Computing. We anticipate that the articles presented in this workshop will help advance neural computing methodologies and offer intriguing insights and new observations.
Keywords
- Generative Adversarial Networks
- AI Innovation
- Neural Networks
- Hands-On Training
- Practical Applications
- Ethical Implications
- Machine Learning
- Interactive Sessions
- Technology Evolution
- Professional Networking
Scope and Information for Participants
The workshop's topics include but are not limited to:
- Neural Computing
- Natural Language Processing
- Knowledge Graph
- Neural Networks
- Semantic Web
- Service Computing