Deep Learning and a New Dawn for AI

This presentation provides a broad historical and conceptual overview of artificial intelligence, tracing its evolution from early theories of intelligence and the birth of AI at Dartmouth to the deep learning revolution. It highlights key milestones, including the rise and fall of expert systems, the return of neural networks, and the recent boom driven by big data and high-performance computing. The slides also explore quantum computation as a future frontier, showcase AI's successes in areas like computer vision and drug discovery, and candidly address persistent challenges such as the need for vast datasets, task overspecialization, and the lack of transparency in neural network decision-making.