Inside the AI developer's toolbox

Jos Martin, senior engineering manager at data analysis and simulation software company MathWorks, defines an artificial intelligence framework as something for programmers that abstracts elements of complexity. In a post on the Computer Weekly Developer Network (CWDN) blog, Martin says: "As a user of deep learning you don't usually need to go and write training algorithms." For instance, Google's Brain team has developed TensorFlow, Facebook has created PyTorch, Microsoft provides its Cognitive Toolkit, while Amazon Web Services (AWS) offers the MXNet deep learning framework as a service. Martin says there are many different intelligence layer types already implemented in openly available libraries, and as such, developers should really view any single layer of intelligence as a whole set of computing neurons connected together. What these frameworks have in common is that they aim to make it easier for programmers to create AI-powered applications.