MathWorks today introduced Release 2017a (R2017a) with a range of new capabilities in MATLAB and Simulink. R2017a includes a new product, Automated Driving System Toolbox, which helps design, simulate, and test ADAS and autonomous driving systems. R2017a also includes updates and bug fixes to 86 other products.

MATLAB Product Family Updates Include: 

MATLAB
Interactive figure updates in the Live Editor, including title, labels, legend, and other annotations, as well as the ability to copy live script outputs to other applications

heatmap chart functions for visualizing data
More functions for operating on tall arrays, including ismember, sort, conv, and moving statistics functions

Econometrics Toolbox
Bayesian linear regression model for analyzing the relationship between a response and a set of predictor variables
Vector autoregressive model for analyzing multivariate time series data, including exogenous predictors

MATLAB Production Server
Web-based server management dashboard for IT configuration and control
Neural Network Toolbox
Deep learning algorithms for training convolutional neural networks (CNNs) for regression tasks using multiple GPUs on PCs, on clusters, and in the cloud
Deep learning visualization for the features a CNN model has learned using image optimization

Functions for transferring weights from pretrained CNN models (AlexNet, VGG-16 and VGG-19) and models from Caffe Model Zoo
Statistics and Machine Learning Toolbox
Regression Learner app for training regression models using supervised machine learning 

tall array algorithms for support vector machine (SVM) and Naïve Bayes classification, bagged decision trees, and lasso regression
Computer Vision System Toolbox
Deep learning for detecting objects using Fast R-CNN and Faster R-CNN
Automated Driving System Toolbox
A new product for designing, simulating, and testing ADAS and autonomous driving systems