Visual Intelligence: Machines and Minds

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Related lectures (31)

Covers scaling laws and simulations in micro and nanosystems, exploring phenomena at smaller scales and the breakdown effects of down-scaling.

Networked Control Systems: Stability Analysis and Examples

Explores the impact of delays and sampling on networked control systems' stability, with examples and simulations.

Orchestration Graphs: Learning with Simulations

Explores orchestration graphs for enhancing learning with simulations and the importance of consolidating knowledge through practice.

Active Turbulence in Biological Systems

Delves into active turbulence and topological defects in biological systems, emphasizing their impact on cell motility and colony growth.

Efficient Stochastic Numerical Methods

Explores efficient stochastic numerical methods for modeling and learning, covering topics like the Analytical Engine and kinase inhibitors.

Simulations for HRI

Delves into using simulations for Human-Robot Interaction, learning from human expertise and preferences, user models, system models, simulation results, and assisting drone landings.

Constructivism: Cognitive Conflict and Learning Mechanism

Delves into cognitive conflict as a key learning mechanism in constructivism, emphasizing careful data set design and reflection.

Mobile Robotics: Autonomy and Simulation

Explores autonomy in mobile robotics, high-fidelity simulation, control architectures, and real-time emulation.

Decentralized Control of DC Microgrids

Explores decentralized control of DC microgrids, PnP controllers, explicit inequalities, and stability in voltage tracking and current sharing.

Digital Skills: Computational Thinking and Tools

Explores digital tools, computational thinking, coding, and data analysis in education.

Hydroacoustics for Hydroelectric Installations

Explores hydroacoustic simulation parameters, mass oscillation modeling, and validation errors in hydroelectric installations.

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