AI Beyond Machine Learning: What’s Next/Better? Why? How?

Description:

Alternative AI approaches will overcome the limitations in accuracy, generality, energy consumption, and the need for massive training data of machine learning (ML). Neuro-symbolic AI combines neural networks with symbolic systems to create robust and trustworthy AI models. Active inference AI is a neuroscientific approach that learns and acts in real-time with less data and energy. Cognitive frameworks for artificial general intelligence (AGI) will tackle complex, real-world problems. Learn why and how these methods will revolutionize industries and transform our understanding of AI!