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Related lectures (28)
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Heuristic Optimization Methods
Explores heuristic optimization methods to find the global optimum efficiently.
Bio-Inspired Learning: Neural Networks, Genetic Algorithms
Explores bio-inspired learning with neural networks and genetic algorithms, covering structure, training, and practical applications.
Reconfigurable Architecture: Static Interconnect Fault-Tolerant
Explores a reconfiguration architecture for semiconductor devices, optimizing mapping and managing defects.
Cellular Physiology: Neuronal Firing Patterns
Explores recreating neuronal firing patterns through ion channel models and genetic algorithms.
Tools for Constraining Neuron Models
Covers tools for constraining neuron models using eFEL and BluePyOpt.
Optimising Neuron Models: eFEL and BluePyOpt
Introduces eFEL and BluePyOpt for optimizing neuron models with experimental data, using evolutionary algorithms.
Optimization in Engineering
Explores optimization techniques in engineering for solving complex problems efficiently.
Protein Folding: From DCA to AlphaFold
Explores the evolution of protein folding techniques, from DCA to AlphaFold.
Model Optimisation with eFel and BluePyOpt
Covers the process of optimising neuron model parameters using eFel and BluePyOpt.
Design Optimization: Principles and Applications
Covers design optimization principles, virtual prototypes, multi-objective optimization, and challenges in the field.
Computational Aspects of Optimization
Explores optimization in neuron modeling, addressing underconstrained parameters, fitness functions, and successful fitting of firing patterns.
Computational Robot Design: Differentiable Simulation and Control
Explores optimization-driven design, differentiable simulation, control strategies, and the evolution of virtual creatures and soft machines.
Multi-Criteria Decisions: Pareto Optimization Techniques
Delves into Pareto optimization techniques for generating system configurations and making decisions efficiently.
Linear Programming: Two-phase Simplex Algorithm
Covers the application of the two-phase Simplex algorithm to solve linear programming problems.
Optimization and Simulation: Simulated Annealing
Explores simulated annealing for optimization, emphasizing parameter tuning and diversification to escape local minima.
Markov Chains and Algorithm Applications
Explores Markov chains and algorithm applications, including exact simulation and Propp-Wilson algorithms.
Deep Generative Models in Drug Discovery
Explores the application of deep generative models in drug discovery, focusing on designing small molecules and optimizing molecular structures.
Markov Chains and Algorithm Applications
Covers Markov chains and their applications in algorithms, focusing on Markov Chain Monte Carlo sampling and the Metropolis-Hastings algorithm.
Cheeger's Inequalities
Explores Cheeger's inequalities for random walks on graphs and their implications.
Universal Constructions: Consensus and Shared Memory Models
Explores universality, consensus objects, shared memory models, and FIFO Queue implementation.
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