Physics-inspired Computing and Neuromorphic Algorithms

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Classical Equations and Conservation Laws

Explores classical equations, conservation laws, and quantum distributions in various systems, shedding light on particle behavior.

Classical Size Effects: Transport Parallel to Boundaries

Explores classical size effects in energy transport parallel to boundaries, emphasizing kinetic and thermal energy characteristics.

Polarized Light: Reflection and Lenses

Explores circular polarized waves, reflection, lenses, and human vision optics.

Real Surfaces: Example

Covers exercises on surface radiative properties, including spectral absorptivity, reflectivity, emissivity, and temperature changes.

Homogeneous Catalysis Basics

Introduces the basics of homogeneous catalysis, focusing on reaction mechanisms and catalyst design.

Neuromorphic Computing: Challenges and Future

Discusses the challenges and future of neuromorphic computing, comparing digital computers and specialized hardware, such as SpiNNaker and NEST, while exploring the Human Brain Project's Neuromorphic Computing Platform.

Hierarchical Control in Robotics

Explores hierarchical control concepts in robotics, including switching, prioritizing, and information chains, to achieve complex robot behaviors.

Snow Melt Dynamics: Phases, Energy Balance, and Water Movement

Explores snowmelt phases, energy balance, water dynamics, and transport complexities in snow.

Parallel Databases

Explores parallel and distributed databases, covering architectures, query optimization, data storage, and distributed transactions.

Neural Networks: Training and Activation

Explores neural networks, activation functions, backpropagation, and PyTorch implementation.