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Related lectures (32)

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Flexible Guidance Design

Explores the design of flexible guidances, emphasizing the analysis of structures with orthogonal flexible joints and the optimization using flexible columns.

Edge AI Application Characteristics

Delves into edge AI applications, focusing on temperature monitoring scenarios.

Adaptive Gradient Methods: Theory and Applications

Explores adaptive gradient methods, their properties, convergence, and comparison with traditional optimization algorithms.

Motor control systems

Explores motor control systems, covering algorithms, sensor integration, and practical applications in robotics and automation.

Global Navigation: Path Planning

Covers global navigation, path planning algorithms, cell decomposition, potential field methods, and stigmergy-based path optimization.

Connect Four: Game Theory Approach

Explores solving Connect Four using game theory algorithms to find optimal strategies efficiently.

Machine Learning in Chemistry: Bayesian Reaction Optimization

Explores machine learning in chemistry, focusing on Bayesian reaction optimization and shifting the experimental burden from humans to machines.

No Free Lunch Theorem: Deep Learning

Explores the No Free Lunch Theorem and how deep networks match real-world problem structures.

Fluorescent Protein Stability Assessment

Covers protein stability assessment using RFP and GFP, flow cytometry, mutagenesis, calcium reporters, and CRISPR-Cas9 experiments.

Computational Design of Deployable Structures

Explores computational design of deployable structures and programmable mechanical metamaterials with stable memory.