In this episode, we talk with Rhode Scholar and Machine Learning Scientist Peter about his transition from math to machine learning biotech, the difference between math and biology, the role of statistics in machine learning, AI in biotech, and why machine learning needs scientific knowledge.

In this episode, Sergey Shuvaev PhD, from Cold Spring Harbor Laboratory talks about NeuroAI and how human brain differ from generic artificial intelligence.

Michael Skupien discusses self-driving AI, preventing AI from propagating racist hiring bias, optimizing human resources in hospitals, mental health AI, and general artificial intelligence.

Edward Ho discusses the impact of AI in radiology and whether AI can replace doctors.

David DeVries talks about the emergence of deep learning and its impact in medicine, his research on using AI to improve cancer treatment, challenges of implementing AI in medicine, patient data privacy, how AI will affect the workforce, and the possibility of an AI winter.