A Conversation with Jitendra Malik on Computer Vision and AI

July 21, 2020 ·1h 41m

Jitendra Malik, a prominent figure in computer vision, discusses the complexities of computer vision after the deep learning revolution, the challenges of understanding dynamic scenes, and the interplay between visual perception and cognition. He emphasizes the importance of grounding AI systems in actions and interactions similar to human learning and highlights the significance of biases and ethics in the application of AI today. Malik critiques the current state of AI research and shares insights on mentorship and the qualities needed to identify and solve meaningful problems in the field

Topics

Computer Vision AI Deep Learning Human Learning Ethics in AI Jitendra Malik