Making IoT devices safe: Risks in IoT Era

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Risk Resilience: Introduction to Resilience Engineering

Introduces the concept of risk resilience and the principles of Resilience Engineering, emphasizing the importance of proactive risk management strategies.

Creating a Value Proposition

Delves into creating a value proposition, exploring types and examples.

Market Opportunity Evaluation

Covers evaluating market opportunities using structured tools and assessing potential challenges for innovators and entrepreneurs.

Equilibrium Chimney and Mass Oscillations

Explores equilibrium chimney risks, mass oscillations, and sizing for hydroelectric installations.

Deep Networks versus Shallow Networks: Artificial Neural Networks and Deep Learning

Compares deep networks with shallow networks in artificial neural networks and deep learning, exploring reasons for their performance differences.

Acquiring Data for Learning: Modern Approaches and Challenges

Explores modern approaches and challenges in acquiring data for learning optimal controllers through demonstrations and data-driven methods.

Reinforcement Learning: Reward-based Learning

Explores artificial neural networks, reward information in the brain, animal conditioning, deep reinforcement learning, and a quiz on rewards.

Neural Networks: Multilayer Learning

Covers the fundamentals of multilayer neural networks and deep learning, including back-propagation and network architectures like LeNet, AlexNet, and VGG-16.

Protecting Your Work and EPFL

Emphasizes protecting work and EPFL through laws, regulations, identifying threats, and securing hardware.

Autonomous Vehicles: Intelligence and Perception

Explores intelligence, perception, and AI applications in autonomous vehicles, emphasizing rational thinking and social intelligence.