If you were waiting for AI enhancements to MATLAB and Simulink, your wait is over. Mathworks recently released version 2019a of its popular software. According to the company, with R2019a, engineers can extend their AI skills to develop controllers and decision-making systems using reinforcement learning, training deep learning models on NVIDIA DGX and cloud platforms, or applying deep learning to 3D data.

R2019a introduces Reinforcement Learning Toolbox, further enhancing the MATLAB workflow for AI. The toolbox facilitates a type of machine learning that trains an “agent” through repeated trial-and-error interactions with an environment to solve controls and decision-making problems.

R2019a, which is available now, features several new signal processing and communications products to support wireless and electronics development, including three Simulink add-ons: Mixed-Signal Blockset, which provides fast model construction, rapid simulation, and deep insights into mixed-signal system design models with dedicated analysis and visualization tools; SerDes Toolbox, which offers the SerDes Designer app for rapid design, analysis, and modeling of wired communications transmitters and receivers; and SoC Blockset, which enables simulation and exploration of FPGA, ASIC and SoC architectures, co-simulation of algorithms and hardware platforms, and performance monitoring and bottleneck detection.