22 posts found
How to ensure the authenticity of satellite imagery
Synthetic images are visual representations artificially generated by algorithms and computational techniques, rather than being captured directly from reality with cameras or sensors. They are produced from different methods, among which the antagonistic generative networks (Generative Adversarial…
Federated machine learning: generating value from shared data while maintaining privacy
Data is a fundamental resource for improving our quality of life because it enables better decision-making processes to create personalised products and services, both in the public and private sectors. In contexts such as health, mobility, energy or education, the use of data facilitates more effic…
How do you build an artificial intelligence model?
Artificial Intelligence (AI) is no longer a futuristic concept and has become a key tool in our daily lives. From movie or series recommendations on streaming platforms to virtual assistants like Alexa or Google Assistant on our devices, AI is everywhere. But how do you build an AI model? Despite wh…
Open source auto machine learning tools
The increasing complexity of machine learning models and the need to optimise their performance has been driving the development of AutoML (Automated Machine Learning) for years. This discipline seeks to automate key tasks in the model development lifecycle, such as algorithm selection, data process…
How Artificial Intelligence and Open Data can re-imagine our cultural future
We are currently in the midst of an unprecedented race to master innovations in Artificial Intelligence. Over the past year, the star of the show has been Generative Artificial Intelligence (GenAI), i.e., that which is capable of generating original and creative content such as images, text or music…
How to prepare a dataset for machine learning and análisis
In the process of analysing data and training machine learning models, it is essential to have an adequate dataset. Therefore, the questions arise: how should you prepare your datasets for machine learning and analytics, and how can you be confident that the data will lead to robust conclusions and…
Hot OSM: Collaborative mapping to coordinate emergency response
The humanitarian crisis following the earthquake in Haiti in 2010 was the starting point for a voluntary initiative to create maps to identify the level of damage and vulnerability by areas, and thus to coordinate emergency teams. Since then, the collaborative mapping project known as Hot OSM (OpenS…
Chat GPT-3 API The Gateway to Integrations
We continue with the series of posts about Chat GPT-3. The expectation raised by the conversational system more than justifies the publication of several articles about its features and applications. In this post, we take a closer look at one of the latest news published by openAI related to Chat GP…
Initiatives for training machine learning models with open data
Behind a voice-enabled virtual assistant, a movie recommendation on a streaming platform, or the development of some COVID-19 vaccines, there are machine learning models. This branch of artificial intelligence enables systems to learn and improve their performance.
Machine learning (ML) is one of th…
GPT-3 chat: we programmed a data visualisation in R with the trending AI
Talking about GPT-3 these days is not the most original topic in the world, we know it. The entire technology community is publishing examples, holding events and predicting the end of the world of language and content generation as we know it today. In this post, we ask ChatGPT to help us in progra…
