Professor Mert Pilanci from Stanford University talks about his recent breakthroughs in machine learning. He discusses the challenges of training AI models, the limitations of gradient descent, and current trends in AI. He also explores different approaches to resolving deep learning issues and the potential of utilizing convex optimization for larger neural networks.