Stochastic Learning Dynamics and Generalization in Neural Networks
Explore stochastic learning dynamics and generalization in neural networks, uncovering key insights into their behavior and performance in various applications.
The Shape of Music - Mathematical Order in Western Tonality
Exploring the mathematical structure of Western music, revealing hidden geometries and patterns that connect diverse musical styles from Bach to The Beatles, and their relation to complex systems science.
Next-Generation Reservoir Computing
Explore cutting-edge advancements in reservoir computing, a powerful machine learning technique for processing sequential data and solving complex temporal problems.
Liquid and Solid Brains - Mapping the Cognition Space
Explore the fascinating comparison between liquid and solid brains, delving into cognitive processes and mapping the intricate landscape of cognition with Ricard Solé.
Prediction, Explanation, and Control - From AI to Human Mind
Explore the connections between AI and human cognition, focusing on prediction, explanation, and control mechanisms in both artificial and biological intelligence systems.
Fabricating Clay - Machines, Materials, and Code
Explore innovative techniques for clay fabrication using advanced machinery and coding, blending traditional craftsmanship with modern technology for unique artistic creations.
Emergence, Self-Organization, and Complexity
Explore the interconnected concepts of emergence, self-organization, and complexity with Carlos Gershenson, gaining insights into how these phenomena shape our world and understanding of systems.
The Ethics of Autonomous Vehicles - Navigating Legal and Ethical Complexities
Exploring the complex ethical, legal, and societal implications of autonomous vehicles beyond the "Trolley Problem," including safety standards, liability, cybersecurity, and regulatory challenges.
Fractal Inequality and the Complexity of Repair - Part 1
Exploring how complex systems science can address societal inequalities, from vaccine distribution to economic opportunities. Insights on repairing structural inequities using network analysis and modeling to protect vulnerable populations.
The Self-Assembling Horde: Building Functional Structures on the Move
Explore how collective organisms build functional structures while in motion, focusing on self-assembling processes and their applications in various fields of science and engineering.
AI in Art History: Computational Analysis and Interpretation of Fine Art
Exploring AI's potential to revolutionize art history by analyzing light, shadow, and symbolic content in paintings, offering new insights into creation methods and hidden narratives.
Prim Dreams of Order vs. Messy Vitality in Economics, Math, and Physics - Part 2
Exploring the limitations of algebraic theory in economics and advocating for algorithmic approaches to capture the evolving nature of innovation and exchange in complex systems.
Thoughts on Rational Inference - Is Information Theoretic Inference Rational?
Exploring rational inference approaches for incomplete information in complex sciences. Discusses defining and implementing rational methods, handling misspecifications, and addressing model uncertainty and robustness.
Reckoning and Judgment: The Promise of AI
Explore the distinction between AI's calculative "reckoning" and human "judgment," examining the potential and limitations of machine intelligence in ethical decision-making.
Geoffrey West on Scaling, Open-Ended Growth, and Accelerating Crisis/Innovation Cycles
Geoffrey West explores scaling laws in cities, discussing how urban environments amplify human creativity and challenges, and examines the accelerating cycle of crisis and innovation driving our global economy towards potential peril.
Effect of Universal TB Vaccination and Other Factors on Probability of Patient Death from COVID-19
Explore how universal TB vaccination, air pollution, and health expenditure impact COVID-19 survival rates across countries, with quantified probability changes by age and sex using information-theoretic methods.
Scaling Laws and Social Networks in the Time of COVID-19 - Part 1
Exploring scaling laws in biology, cities, and economies, and their implications for societal challenges like pandemics and sustainability. Insights from complex systems science for understanding human civilization.
The Future of the Economy - Technology Evolution and AI Impact
Exploring technology's evolution through biology, this talk examines how AI reshapes labor and finance, offering insights into designing human systems that align with physical and biological laws.
Fairness in Machine Learning: Tasks, Experiences, and Performance Measures
Explore fairness in machine learning, focusing on risk assessment tasks, data representation challenges, and performance measures. Learn about new findings and alternative approaches to promote equitable AI systems.
Fairness, Accountability, and Transparency in Predictive Models for Criminal Justice
Explore fairness, accountability, and transparency in predictive modeling for criminal justice, with examples highlighting their importance in real-world applications.
Artificial Intelligence: What We Still Don't Know - Melanie Mitchell
Explore AI's challenges, limitations, and future potential with computer scientist Melanie Mitchell. Delve into fundamental questions about intelligence, cognition, and the intersection of technology and human understanding.