TOPICS
1. Innovative methods for efficient and sustainable AI:
- Advances in AI theories;
- Advances in neural networks and neurocomputers;
- Brain-inspired computation;
- Multimodal data science and AI;
- Cooperative agents.
2. Systems for the development and the implementations of efficient and sustainable AI:
- LLM based on novel neurocomputers (spike-based transformers);
- Agentic AI systems;
- Neuromorphic agents;
- Multi-agent systems on the cloud;
3. Novel efficient and sustainable AI applications:
- LLM in education, from primary-, to tertiary- and to higher education for improved learning and cognitive skills;
- Improving cognition in elderly population;
- AI in professional health practice;
- Predictive AI for early prediction of health problems, such as: stroke, AD, dementia, MS, ADHD, depression;
- AI for environmental prediction;
- AI for personalized medicine;
- Non-invasive AI methods in health.
- AI against fake information;
- Ethical use of LLM.
