Buzzwords/ Triggers
This term is used when engineers discuss systems that simulate human intelligence processes.
What is Artificial Intelligence?
This persona focus on developing and deploying machine learning models, appreciating the integration and scalability offered by MathWorks tools.
Who is a Machine Learning Engineer?
True or False: A financial engineer developing a predictive model for stock price movements can use MATLAB's machine learning capabilities to analyze historical market data
True
True or False: Apple is an account that utilizes our AI tools
True
This toolbox provides functions and apps to describe, analyze, and model data. You can generate random numbers for Monte Carlo simulations, and perform hypothesis tests.
What is the Statistics and Machine Learning Toolbox?
This buzzword refers to statistical methods that enable machines to learn tasks from data without explicitly programming
What is Machine Learning?
This persona may be interested in leveraging MATLAB's robust data processing and machine learning capabilities to build predictive models and analyze large datasets.
Who is a Data Scientist?
True or False: A robotics engineer working on autonomous navigation for drones would not benefit from MATLAB's simulation and control system toolboxes.
False
AI is used in this type of maintenance, which predicts when equipment will fail.
What is predictive maintenance?
This toolbox provides functions, apps, and Simulink blocks for designing, implementing, and simulating deep neural networks.
What is the Deep Learning Toolbox?
This is a specialized form of machine learning that works with neural networks with many layers that learn representations and tasks "directly" from data
What is Deep Learning?
This persona is likely interested in designing and deploying AI algorithms for robotics applications, they utilize MathWorks tools for simulation and real-time testing.
What is a Robotics Engineer?
True or False: An aerospace engineer designing an adaptive flight control system might use MATLAB's reinforcement learning toolbox to optimize control algorithms in uncertain environments.
True
This open-source deep learning library was created by Facebook and is popular due to its Python-like syntax.
What is PyTorch?
The toolbox lets you represent policies and value functions using deep neural networks or look-up tables and train them through interactions with environments modeled in MATLAB or Simulink.
What is the Reinforcement Learning Toolbox?
If an engineer is focused on teaching an agent to make decisions based on rewards or penalties, they are likely working with this type of AI
What is Reinforcement Learning?
This persona is likely uses AI to automate and enhance image-based diagnostics, benefiting from MATLAB's image processing and machine learning toolboxes.
Who is a Medical Imaging Researcher?
True or False: An industrial engineer tasked with optimizing a manufacturing process would find MATLAB's image processing capabilities irrelevant for quality inspection automation.
False
This library, developed by Google, was once the dominant AI library but is now losing market share to PyTorch. This library provides better support for embedded deployment through TFLite.
What is TensorFlow?
This toolbox supports the development of algorithms where agents learn through trial and error.
What is the Reinforcement Learning Toolbox?
When an engineer talks about using layers of interconnected nodes for pattern recognition, they are likely discussing this concept.
What are Neural Networks?
This persona likely uses reinforcement learning to improve the decision-making capabilities of vehicles, such as path planning and obstacle avoidance
Who is an Autonomous Vehicle Engineer?
True or False: A systems engineer in the energy sector using MATLAB to model and forecast power grid reliability would not typically use MATLAB's statistical analysis tools to assess risk factors related to equipment failure.
False
AI in engineered systems is used for this type of inspection, often involving cameras and sensors
What is virtual inspection?
This toolbox provides functions and apps for designing condition monitoring and lets you design condition indicators, detect faults and anomalies, and estimate remaining useful life (RUL).
What is Predictive Maintenance Toolbox?