A Graph Neural Networks (GNN) is a class of artificial neural networks for processing graph data. Here we need to define what a graph is, and a definition is a quite simple – a graph is a set of vertices (nodes) and a set of edges representing the connections between the vertices. There are many data sources which produce data that can be organically presented in a graph form. For example, we can consider social network users as graph vertices where two vertices are connected if corresponding users are friends.Read More
Every person who works in machine learning (ML) sooner or later faces the problem of crowdsourcing. In this article we will try to give answers to the questions: 1) What is in common between crowdsourcing and ML? 2) Is crowdsourcing really necessary?Read More
It is not a secret that people who work in the sphere of Machine Learning sooner or later start to see themselves as a kind of carriers of sacred knowledge. They know what back propagation, cross-entropy, tensors are and how you can transform them.
It goes without saying that staying in this kind of ML bubble affects the perception. The developers start to think that everybody knows about technical specifications of this work, as they do. But it is far from being the truth. In the Machine Learning sphere there are two main parties: engineers and customers. In this article we offer you to see the process of ML development from the point of view of the customer.Read More
The AI industry is usually remembered for post-apocalyptical scenarios where robots invade earth and rid of humanity altogether. That is far from the reality, as a matter of fact, AI has been playing a vital role in helping different industries as they improve to better answer their business needs and problems. Companies like ISS Art have been at the forefront of this industry by providing incredible AI development services globally.Read More