Machine learning and artificial intelligence (AI) aim to create algorithms that solve difficult problems and simulate complex intelligent behavior. Many of these algorithms are based on findings and theory from the study of the brain and mind.

Recent rapid advances in these fields have seen the creation of algorithms and agents that can—finally—solve complex real-world problems across a wide range of domains. What are these advances, and how can we take them further? What remains beyond their capacity, and how can we overcome that? What might forever lie beyond their capabilities—or will anything?

In this session we will hear from some of the world’s leading experts in academia and tech. We will also hear from proponents of structure, and from proponents of scale. And we will also hear some radical suggestions for reframing many fundamental problems of intelligence.