MathWorks MATLAB and Simulink Release 2019b

Monday, 30 September, 2019 | Supplied by: MathWorks Australia

MathWorks has introduced Release 2019b of MATLAB and Simulink, featuring capabilities in support of artificial intelligence, deep learning and the automotive industry. The release also introduces products in support of robotics, training resources for event-based modelling, and updates and bug fixes across the MATLAB and Simulink product families.

MATLAB highlights include the introduction of Live Editor Tasks, which enables users to interactively explore parameters, pre-process data and generate MATLAB code that becomes part of the live script. MATLAB users can focus on the task instead of the syntax or complex code, and automatically run generated code to quickly iterate on parameters through visualisation.

Simulink highlights include Simulink Toolstrip, which helps users access and discover capabilities as they are needed. Tabs are arranged according to workflow and sorted by frequency of use, saving navigation and search time.

In R2019b, Deep Learning Toolbox builds on the flexible training loops and networks introduced previously. The latest capabilities enable users to train advanced network architectures using custom training loops, automatic differentiation, shared weights and custom loss functions. In addition, users can now build generative adversarial networks (GANs), Siamese networks, variational auto-encoders and attention networks. Deep Learning Toolbox also can now export to ONNX format networks that combine CNN and LSTM layers and networks that include 3D CNN layers.

The release also offers Stateflow Onramp, an interactive tutorial to help users learn the basics of how to create, edit and simulate Stateflow models. This self-paced learning course includes video tutorials and hands-on exercises with automated assessments and feedback.

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