As you have been able to read in several posts we have published, our work consists, among others, of the development of mathematical models, machine learning models and even visual computing or language understanding models.
The Role of Artificial Intelligence in an Energy Transition Context
The energy transition towards renewable energies is inevitable nowadays, and in this process, advanced and predictive analytics play a vital role for its correct implementation in electricity networks
What is a solver? The Mathematical Engine that Solves Complex Problems
In Industry 4.0 context and, in general, the 4.0 world, appear products and services whose organisation poses extremely complex problems. Dealing with them well or badly can be the difference between a profitable business and an unprofitable one.
Three Essential Signs that Mathematics can help you Improve your Business Operations
The first step in developing an optimisation solution is to find out where there is a suitable scenario to work on, where and why a business process is lacking, and what are those indications that will help us to focus the shot, to bet on projects that will be clear winners.
The Pricing Problem
How can we know if we have set the optimal price for a product to achieve our business objectives and generate the most value for our company?
The boom of Natural Language Processing (NLP)
Can Artificial Intelligence write a blog? Why has Natural Language Processing grown so much? What are its uses?
From complex strategic decisions to simple games
Game theory can provide a valuable point of view for decision making.
On a daily basis, each company faces complex decisions about its operations. For some of these decisions, the outcome of the decision is not conditioned by the decisions of others, but in many cases, it is. The result not only depends on the action or strategy adopted but is also affected by the decisions of others.
Machine Learning Automation Tools (AutoML)
What is AutoML? What tasks does it facilitate? What limitations does it have? Introduction to Automated Machine Learning technologies from the analysis of all phases of a Machine Learning project in production.
Federated learning as an alternative to maintain data privacy
Federated learning is the set of techniques that allow training Machine Learning models without sending users data from their devices.
Computer Vision and Points Clouds
Computer vision is a set of techniques that deal with how computational processes can obtain high-level information from digital images or videos, trying to understand and automate tasks that the human visual system is capable of performing.
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