Beyond Deep Learning - Learning+Reasoning

Explore the future of artificial intelligence in this 32-minute lecture from MIT's Introduction to Deep Learning course. Delve into the challenges of combining learning and reasoning in AI systems as presented by Lisa Amini from IBM Research. Discover the potential of word embeddings and knowledge bases in advancing AI capabilities. Examine real-world example tasks that demonstrate the integration of learning and reasoning. Gain insights into ongoing research and future directions in the field of AI that go beyond traditional deep learning approaches.

Introduction
IBM Research
MIT Watson AI Lab
Challenges
Word embeddings
Knowledge bases
Example Task
Future Work