Further support for AI in R2019a includes significant enhancements to Computer Vision Toolbox, Data Acquisition Toolbox, and Image Acquisition Toolbox. The toolbox reiterates the company’s commitment to AI, building on last fall’s R2018b introduction of Deep Learning Toolbox, which was enhanced with support for NVIDIA GPU Cloud, Amazon Web Services, and Microsoft Azure, and interoperability through support of the ONNX exchange format. The new 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 introduces Reinforcement Learning Toolbox, further enhancing the MATLAB workflow for AI. With R2019a, MathWorks enables engineers to quickly and effectively extend their AI skills, whether it’s 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 3-D data,” said David Rich, MATLAB marketing director.”
“One of the key challenges in moving AI from hype to production is that organizations are hiring AI ‘experts’ and trying to teach them engineering domain expertise. The release contains new products and important enhancements for artificial intelligence (AI), signal processing, and static analysis, along with new capabilities and bug fixes across all product families. MathWorks today introduced Release 2019a of MATLAB and Simulink.
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