Neural networks: feed-forward and recurrent neural networks

Recurring models (RNNs)   Neural networks can be divided into two main categories: Feed-forward and Recurrent Neural Network (RNN).  […]

Feed-forward neural networks -CNN – convolutional neural network

 In the previous article we described in general the functioning of neural networks, in this second publication we […]

Deep learning the technology of the future, what is it and why it represents the next frontier of Humanativa

In recent years, the research and development activity carried out by Humanativa has been aimed at the theme […]

Artificial intelligence: Steps forward for human beings

For over 50 years, molecular biologists from research institutes around the world have focused their studies on protein, […]

Artificial intelligence: Italy launches the national strategy

On 24 November 2021, the Italian Council of Ministers approved the Strategic Programme for Artificial Intelligence (AI) 2022-2024, […]

Machine learning: how to choose the best model

Choice of the best model One of the most important phases of machine learning concerns the choice of […]

Artificial intelligence at … high speed!

Although even today the term “Artificial Intelligence” is used with a certain skepticism and, in some cases, with […]

Intelligent passenger profiling and survey system (ISIP)

OBJECTIVE  The aim of the project is to create an intelligent pre-screening system based on BIG DATA architectures […]

Put AI in photography

In the near future will not be able to find the differences between a real and a computer-generated […]

Interpretability in machine learning. A dream comes true.

One of the principal limitations in the application of complex machine learning algorithms in real business cases, it […]

Evolution of generative adversarial neural network

Since their introduction, machine learning algorithms have been applied to different problems in order to solve a wide […]

Optimal design of neural network architecture

One of the most difficult tasks to solve when using neural network, is to define the optimal configuration […]