MathWorks Release 2019b

MathWorks has introduced Release 2019b with a range of enhanced capabilities in MATLAB and Simulink, including those in support of artificial intelligence, deep learning and the automotive industry. In addition, R2019b introduces products in support of robotics, training resources for event-based modelling, and updates and bug fixes across the MATLAB and Simulink range. Among the MATLAB improvements in R2019b is the introduction of Live Editor Tasks, which enables users to interactively explore parameters, preprocess data and generate MATLAB code that becomes part of the live script.

R2019b updates to Simulink include the Simulink Toolstrip, which helps users access and discover capabilities as they are needed.

In relation to AI, Deep Learning Toolbox builds on the flexible training loops and networks introduced previously. Users can 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 autoencoders 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.

In addition to updated features in Robotics System Toolbox, R2019b introduces a Navigation Toolbox for designing, simulating and deploying algorithms for planning and navigation, and an ROS Toolbox for designing, simulating and deploying ROS-based applications.