Date/Time
Date: 12/17/2025
Time: 12:00 pm - 1:00 pm
This talk explores the fundamental differences and surprising parallels between human cognition and artificial intelligence systems. Drawing from both neuroscience and computer science, Dr. Ravula will examine how neural networks, large language models, and other AI architectures process information compared to the human brain.
The discussion will highlight key distinctions in pattern recognition, contextual understanding, and creative problem-solving, while exploring the implications for human-AI collaboration. Attendees will gain insights into the complementary strengths of human and artificial intelligence, and how this understanding can inform the development of more effective AI systems that augment rather than replace human capabilities.
Speaker: Dr. Sridhar Ravula (Adjunct Faculty, Columbia University)
