NeuroAI: A New Approach to Artificial Intelligence

A recent study, based on a workshop held in August 2025, explores the growing convergence between neuroscience and artificial intelligence (AI). The main goal is to identify areas of synergy that can lead to significant advances in both fields.

Areas of Collaboration

The areas of interest include:

  • Embodiment: How physical embodiment influences intelligence.
  • Language and Communication: Developing more natural and efficient language models.
  • Robotics: Creating more intelligent and adaptable robots inspired by the human brain.
  • Learning: Understanding the mechanisms of learning in humans and replicating them in machines.
  • Neuromorphic Engineering: Designing hardware and software that mimic the structure and function of the brain.

NeuroAI: Brain-Inspired AI

The vision is to develop "NeuroAI", a type of artificial intelligence informed by neuroscience. It is believed that this approach can significantly improve the scope and efficiency of AI algorithms, while changing the way we understand biological neural computations.

SWOT Analysis and Future Perspectives

The study also includes SWOT (Strength-Weakness-Opportunities-Threat) analyses conducted by researchers and trainees, which describe the benefits and risks offered by NeuroAI. These analyses provide a comprehensive overview of the potential implications of this new field of study.