Current product presentationsNews from the Software & IT sector
Software & IT is also becoming increasingly essential for manufacturing. As a result, numerous products with this focus are coming onto the market - as the following series of images shows.
Mathworks introduces Release 2019b with a range of new features in Matlab and Simulink, as well as for artificial intelligence, deep learning and the automotive industry. 'Matlab R2019b' includes the introduction of Tasks in the Live Editor. This allows users to interactively explore parameters, pre-process data and generate Matlab code that becomes part of the live script. Simulink R2019b includes the new Simulink toolstrip, which allows users to access and find functions as soon as they are needed. In the Simulink toolstrip, the tabs are organized by workflow and sorted by frequency of use. New features in the Deep Learning Toolbox allow users to train advanced network architectures with user-defined training loops, automatic differentiation, joint weights and user-defined loss functions. In addition, users can now create Generative Adversarial Networks (GANs), Siamese networks, auto-encoders with variations and attention networks. R2019b also introduces important functions to support the automotive industry with several products, including the 'Automated Driving Toolbox', which supports 3D simulations. Furthermore, 'Powertrain Blockset' provides the ability to generate a deep learning model for an SI engine, allowing users to design algorithms and analyze vehicle performance, fuel consumption and emissions. Also new are reference applications for the HEV architectures P0, P1, P3 and P4. There is also a 'Sensor Fusion and Tracking Toolbox' to perform fusions between tracks and design decentralized tracking systems, and the 'Polyspace Bug Finder' to support Autosar C++14 programming guidelines to check for incorrect use of lambda expressions. In addition to new features in the 'Robotics System Toolbox', R2019b includes two new products: The 'Navigation Toolbox' for designing, simulating and deploying algorithms for planning and navigation, and the 'ROS Toolbox' for designing, simulating and deploying ROS-based applications. The toolbox provides an interface between Matlab, Simulink and the Robot Operating System.