Dr. Sarah Chen is a leading researcher in artificial intelligence and machine learning with over 15 years of experience. She has published 150+ papers in top-tier conferences and journals, and her work has been cited over 10,000 times. She leads the AI Ethics Lab at Stanford and has been recognized with numerous awards including the NSF CAREER Award and the IEEE Fellow designation.
Can you explain the difference between supervised and unsupervised learning?
Supervised learning uses labeled data to train models, where we know the correct output for each input. For example, in image classification, we show the model thousands of images labeled as 'cat' or 'dog'...
How do neural networks actually learn?
Neural networks learn through a process called backpropagation. Think of it like learning to play basketball - you take a shot, see how far off you were from the basket, and adjust your technique...
What are the ethical implications of AI in healthcare?
AI in healthcare presents both tremendous opportunities and significant challenges. On one hand, AI can help diagnose diseases earlier and more accurately than human doctors in some cases...