Position papers may address any relevant aspect of neural networks and AI, including (but not limited to):

• Insights into the role of biological inspiration in advancing neural networks.
• The role of neural networks in accelerating discoveries in physics, chemistry, biology, and more.
• Perspectives on the use and impact of generative models in application domains.
• The importance of interpretability and explainability in safety-critical applications.
• Evaluating the environmental impact and sustainability of current neural network models.

• Perspectives on the adoption and limitations of neural networks in real-world applications.
• Ethical concerns related to the design, deployment, and application of neural networks.
• The role of regulation and policy in shaping the development of neural network technologies.
• Recommendations for future research directions and priorities in neural networks.

We encourage submissions that tackle both technical and societal perspectives. We look forward to receiving your insightful perspectives and fostering a vibrant exchange of ideas at IJCNN 2025!