SCOPE
The workshop aims to explore recent advances, emerging trends, and future directions in the broad areas of neural networks and generative artificial intelligence. It will bring together researchers and practitioners to discuss novel architectures, innovative methodologies, practical applications, and the challenges associated with developing reliable, efficient, and responsible AI systems.
TOPICS
Topics include, but are not limited to:
- Advances in deep learning and neural network architectures
- Large Language Models: architectures, training, fine-tuning, and adaptation
- Generative AI for text, images, audio, video, and multimodal content
- Retrieval-Augmented Generation (RAG) and knowledge-grounded AI
- Agentic AI and intelligent workflows
- Efficient learning, model compression, and inference optimization
- Explainable, trustworthy, and responsible AI
- Evaluation, benchmarking, and robustness of generative models
- Applications of neural and generative AI across scientific and industrial domains
- Emerging paradigms beyond LLMs and future directions in AI
PROGRAM CO-CHAIRS
- Nicola Capuano – Department of Information and Electrical Engineering and Applied Mathematics, University of Salerno, Italy (ncapuano@unisa.it)
- Rocco Loffredo – Department of Industrial Engineering, University of Salerno, Italy (rloffredo@unisa.it)
- Stefania Tomasiello – Department of Industrial Engineering, University of Salerno, Italy (stomasiello@unisa.it)
IMPORTANT DATES
- Extended Abstract Submission Deadline: January 31, 2027
- Notification of Acceptance: February 28, 2027
- Camera-ready Deadline: April 30, 2027
- Workshop Dates: June 9–11, 2027
PUBLICATION AND PAGE LIMITATIONS
- Contributions will be published on the SPRINGER “Smart Innovation Systems and Technologies” (see Springer Guidelines for formatting guidelines and templates). The minimum paper length is 15 pages.
- Manuscripts should be submitted through [Submission LINK TBA] by selecting “Large Language Models and beyond: advances in neural and generative AI” from the dropdown menu.
REGISTRATION FEE
Registration must be done through bank transfer and receipts must be exhibited at the conference.
Details can be found at
https://siren.science/registration.html