KDD 2020: Physics Inspired Models in Artificial Intelligence
Explore the intersection of physics and AI, covering paradigms, generalization, complexity, interpretability, and physics-informed neural networks. Gain insights into the synergy between these fields.
Physics - Nonequilibrium Statistical Mechanics
Explore advanced concepts in nonequilibrium statistical mechanics, including Langevin models, linear response theory, Fokker-Planck equations, and critical phenomena, with practical applications and quizzes.
A Statistical Physicist Looks at Some Complex Systems
Explore complex systems through statistical physics, examining random walks, lead changes in sports, and data analysis techniques for understanding dynamic processes.
The Science of Networks - C4 Public Lectures
Explore the emerging science of networks, their structure, and function across diverse systems. Learn about phase transitions, interdependence, and mathematical models for predicting network behavior and consequences.
Simple - But Not Too Simple - Models to Investigate Complex Brain Dynamics
Exploring brain dynamics through simple models, linking structural and functional networks, and investigating criticality in neural systems for clinical applications and cognitive state transitions.
Randomness Everywhere - Understanding Random Walk Models and Their Applications
Explore the fascinating world of randomness with physicist Sid Redner. Discover how random walk models explain everyday phenomena, from stock prices to gambling, and their applications in various fields.
Fluctuations and Order in Randomly Evolving Environments
Explore non-equilibrium systems where giant fluctuations coexist with long-range order, examining particle behavior, interface properties, and applications in various scientific domains.
Sci-Fi Science and Complex Systems - Exploring Alien Civilizations
Explore the intersection of sci-fi and science as researchers model a three-parent alien civilization, discussing societal implications, speculative research, and the impact of small changes on complex systems.
Complexity Science and the Nobel Prize in Physics 2021
Explore Parisi's groundbreaking work on spin glasses and its impact on understanding complex systems across physics, biology, and computer science, from atomic to planetary scales.
Semantic Information and the Physics of Meaning
Exploring the physics of meaning, this talk delves into semantic information, examining how systems process and organize information, and the fundamental constraints on energy required for information processing.
Swimming Without a Lifeguard in the Ocean of Ideas - Abstraction and Unsupervised Deep Learning
Explore unsupervised deep learning techniques for discovering hierarchical latent feature spaces, improving interpretability and performance in downstream tasks, and bridging neural and symbolic learning systems.
Luck, Skill, and Inequality in Games and Social Hierarchies
Explore the interplay of luck, skill, and inequality in games and societal structures, examining their impact on hierarchies and outcomes.
Topological Scaling Laws and the Mathematics of Evolution
Explore topological scaling laws in evolutionary biology, examining phylogenetic tree structures and their implications for understanding large-scale evolutionary patterns and processes.
Branching Processes for Cascades on Networks
Explore branching processes and their application to network cascades, gaining insights into complex system dynamics and interdisciplinary physics concepts.
Accessibility Percolation for the Rough Mount Fuji Model
Explore accessibility percolation in the rough Mount Fuji model through a mathematical conference talk by Matt Roberts at CIRM.
Network Epidemiology - From Analytical Insights to Data-Driven Modeling of Contagion
Explore analytical insights and data-driven modeling techniques for understanding contagion spread in complex networks, enhancing epidemiological research and disease control strategies.
Aging and Memory Effects in Social and Economic Dynamics
Explore aging and memory effects in social and economic dynamics, uncovering complex interdisciplinary insights into human behavior and societal patterns.
Opinion Dynamics in Social Networks under Bias - A Study Based on the DeGroot Model
Explore opinion dynamics in social networks, analyzing bias effects using the DeGroot model. Gain insights into complex systems and network influence on collective beliefs.
Stochastic Thermodynamics of Imitation Models
Explore stochastic thermodynamics in imitation models, examining complex systems and interdisciplinary physics concepts at the forefront of research.
Towards Understanding Social Hysteresis - Insights from Statistical Physics and Surprises
Explore social hysteresis through statistical physics, uncovering insights and surprises in complex societal dynamics.
Vignettes of Data-Driven Approaches to the MT-Kinesin Active Fluid
Explore data-driven approaches to MT-Kinesin active fluid dynamics in this conference talk by Aparna Baskaran, delving into collective phenomena and energy-consuming components in active matter systems.