
Explore how language, perception, and action influence human conceptual systems with Louise Connell, a leading researcher in complex cognition and embodied intelligence.

Explore embodied perspectives on neural architecture search with Nick Cheney, examining the intersection of neurorobotics and complex systems in AI development and intelligence research.

Explore how language comprehension is grounded in physical interactions with the world, challenging traditional views of cognition and offering insights into embodied intelligence.

Explore the philosophical perspective on embodied intelligence and its implications for AI, presented by Lisa Miracchi from the University of Pennsylvania's GRASP Lab and MindCORE.

Explore the trustworthiness and effectiveness of foundation models in AI with Stanford professor Percy Liang, examining their potential and limitations for human-computer interaction and continuous learning.

Explore the fascinating world of collective animal behavior, from insect swarms to human crowds. Discover how individual actions create complex group dynamics and problem-solving abilities in nature.

Explore how Reservoir Computing and AI can predict chaotic systems like weather and brain dynamics, pushing beyond traditional forecasting limits and combining knowledge-free and knowledge-based approaches.

Explore how computers learn from massive data to perform tasks like spelling correction and translation, rivaling human capabilities through example-based learning.

Explore the intriguing intersection of AI and human nature, examining what our interactions with machines reveal about our own humanity and consciousness.

Explore how language in food reveals insights on history, economics, and culture. From ketchup's origins to menu linguistics, uncover surprising connections between words and cuisine.

Explore the intersection of complex systems and blockchain technology, including AI DAOs, token design, and agent-based simulations for innovative ecosystem development.

Exploration of consciousness in biological and artificial brains, discussing Integrated Information Theory and why digital systems may never truly experience consciousness like humans do.

Explore the future of biological intelligence in a world of distributed machine intelligence and potential cultural mechanisms surpassing human analytical capabilities.

Cognitive scientist Gary Marcus explores AI's progress, challenges, and potential lessons from human cognition, offering insights into the future of machine intelligence.

Exploring algorithmic fairness in justice systems: accuracy, data sources, and potential biases. Discusses AI decision-making, explainability, and societal implications of algorithms in criminal justice.

AI architecture for recognizing visual situations in images, using learned models of object features and spatial relationships to actively search and score images for specific situations.

Explore the mysteries of time with experts discussing its physical, biological, and cultural aspects, focusing on the arrow of time, entropy, and adaptive systems.

Explore intelligent systems, social engineering, and visualization with expert panels, plus a unique theremin concert. Dive into cutting-edge topics with leading thinkers and innovators.

Exploring diverse forms of intelligence: from human evolution to complex systems and future discoveries. Experts discuss biological, artificial, and collective intelligence across species and technologies.

Explores information transfer in collective problem-solving by ants and slime molds, revealing surprising mechanisms for regulating information flow and decision-making in simple organisms.

Explore the potential downfall of AI systems, their limitations, and the challenges they face in achieving human-like intelligence with Melanie Mitchell's insightful analysis.