Industrial Automation Systems Courses

CppNow

Employing Senders and Receivers to Tame Concurrency in C++ Embedded Systems

Explore how Senders and Receivers pattern can solve complex concurrency issues in baremetal systems, using Intel's open source library on an ARM-based development board.

• YouTube
• 1 hour 32 minutes
• Self-Paced
• Free Video

ACCU Conference

When Less Is More: Designing and Decoding Complex Distributed Systems

Explore strategies for designing and decoding complex distributed systems, focusing on architectural tradeoffs, maintaining mature software, and evolving existing systems effectively.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video

GOTO Conferences

Failure and Change: Principles of Reliable Systems - YOW! 2018

Explore principles for building reliable systems that withstand failure and change. Learn strategies to implement, understand, and verify robust software in complex environments.

• YouTube
• 41 minutes
• Self-Paced
• Free Video

Fields Institute

Kernelization of Reservoir Systems

Explore advanced techniques in machine learning and dynamical systems, focusing on the kernelization of reservoir systems and their applications in data analysis.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

Fields Institute

Asymptotically Stable Koopman Representations of Dynamic Systems

Explore asymptotically stable Koopman representations in dynamic systems, focusing on their applications in machine learning and dynamical systems research.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Fields Institute

Data-Driven Reduced Order Models of Forced Systems Using Invariant Foliations

Explore innovative techniques for creating data-driven reduced order models of forced systems, focusing on the application of invariant foliations in dynamical systems analysis.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

Fields Institute

State Estimation of Complex Systems

Explore state estimation techniques for complex systems, focusing on advanced methods and applications in dynamical systems and machine learning.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

Fields Institute

The Operator is the Model - Dynamical Systems and Machine Learning

Explore the intersection of machine learning and dynamical systems with Igor Mezic, focusing on operator-based modeling approaches and their implications for complex system analysis.

• YouTube
• 44 minutes
• Self-Paced
• Free Video

Fields Institute

Learning, Approximation and Control in Dynamical Systems

Explore connections between machine learning, approximation theory, and control systems in this symposium talk by Qianxiao Li from the National University of Singapore.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Fields Institute

Discovering Dynamics and Parameters of Nonlinear Systems from Partial Observations

Explore techniques for uncovering nonlinear system dynamics and parameters using incomplete data, enhancing understanding of complex systems and their behavior.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Fields Institute

Orbit Hierarchies and Long-Term Predictability in Chaotic Systems

Explore orbit hierarchies and long-term predictability in chaotic systems, uncovering insights into complex dynamical behaviors and their implications for machine learning.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Fields Institute

Learning and Dynamical Systems - Perspectives from Optimization, Control, and Robotics

Explore perspectives on learning and dynamical systems through the lenses of optimization, control theory, and robotics in this insightful symposium presentation.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

Fields Institute

A Dynamical Systems Perspective on Measure Transport and Generative Modeling

Explore measure transport and generative modeling through a dynamical systems lens, gaining insights into advanced machine learning concepts and their applications.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

Fields Institute

Dynamical Systems in Deep Generative Modelling

Explore the intersection of dynamical systems and deep generative modeling, uncovering innovative approaches for creating advanced AI models and understanding complex data patterns.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Fields Institute

Algorithmic Information Theory and Machine Learning in Dynamical Systems

Explore the intersection of Algorithmic Information Theory and Machine Learning for Dynamical Systems in this symposium talk by Boumediene Hamzi from Caltech.

• YouTube
• 28 minutes
• Self-Paced
• Free Video