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We present a new report in the series 'Emerging Technologies and Open Data', by Alejandro Alija. The aim of these reports is to help the reader understand how various technologies work, what is the role of open data in them and what impact they will have on our society. This series includes monographs on data analysis techniques such as natural language analysis and predictive analytics.  This new volume of the series analyzes the key aspects of data analysis applied to images and, through this exercise, Artificial Intelligence applied to the identification and classification of diseases...

Perhaps one of the most everyday uses of artificial intelligence that we can experience in our day-to-day lives is through interaction with artificial vision and object identification systems. From unlocking our smartphone to searching for images on the Internet. All these functionalities are possible thanks to artificial intelligence models in the field of image detection and classification. In this post we compile some of the most important open image repositories, thanks to which we have been able to train current image recognition models. Introduction Let's go back for a moment to...

The advance of supercomputing and data analytics in fields as diverse as social networks or customer service is encouraging a part of artificial intelligence (AI) to focus on developing algorithms capable of processing and generating natural language. To be able to carry out this task in the current context, having access to a heterogeneous list of natural language processing libraries is key to designing effective and functional AI solutions in an agile way. These source code files, which are used to develop software, facilitate programming by providing common functionalities, previously...

Few abilities are as characteristic of human beings as language. According to the Aristotelian school, humans are rational animals who pursue knowledge for the mere fact of knowing. Without going into deep philosophical considerations that far exceed the purpose of this space for dissemination, we can say that this search for knowledge and the accumulation of knowledge would not be possible without the intervention of human language. Hence, in this 21st century - the century of the explosion of Artificial Intelligence (AI) - a large part of the efforts are focused on supporting, complementing...

Have you ever wondered how Alexa is able to recognise our voice and understand what we are saying (sometimes better than others)? Have you ever stopped to think about how Google is able to search for images similar to the one we are providing it with? You probably know that these techniques belong to the field of artificial intelligence. But don't be fooled, building these sophisticated models is only within the reach of a few. In this post we tell you why and what we ordinary mortals can do to train artificial intelligence models. Introduction In recent years we have witnessed...

It's been a long time since we first heard about the Apache Hadoop ecosystem for distributed data processing. Things have changed a lot since then, and we now use higher-level tools to build solutions based on big data payloads. However, it is important to highlight some best practices related to our data formats if we want to design truly efficient and scalable big data solutions. Introduction Those of us who work in the data sector know the importance of efficiency in multiple aspects of data solutions and architectures. We talk about efficiency in terms of processing times, but also...

Artificial intelligence is increasingly present in our lives. However, its presence is increasingly subtle and unnoticed. As a technology matures and permeates society, it becomes more and more transparent, until it becomes completely naturalized. Artificial intelligence is rapidly going down this path, and today, we tell you about it with a new example. Introduction In this communication and dissemination space we have often talked about artificial intelligence (AI) and its practical applications. On other occasions, we have communicated monographic reports and articles on specific...

In order to extract the full value of data, it is necessary to classify, filter and cross-reference it through analytics processes that help us draw conclusions, turning data into information and knowledge. Traditionally, data analytics is divided into 3 categories: Descriptive analytics, which helps us to understand the current situation, what has happened to get there and why it has happened. Predictive analytics, which aims to anticipate relevant events. In other words, it tells us what is going to happen so that a human being can make a decision. Prescriptive analytics, which...

Introduction In this new post we introduce an important topic in the data analysis sector and that, however, tends to go unnoticed by most of the non-specialist audience. When we talk about advanced data analytics, we tend to think of sophisticated tools and advanced knowledge in machine learning and artificial intelligence. Without detracting from these skills so demanded today, there are much more basic aspects of data analysis that have a much greater impact on the end user or consumer of results. This time we talk about the communication of data analysis. Good communication of the...

Can you imagine an AI capable of writing songs, novels, press releases, interviews, essays, technical manuals, programming code, prescribing medication and much more that we don't know yet? Watching GPT-3 in action doesn't seem like we're very far away. In our latest report on natural language processing (NLP) we mentioned the GPT-2 algorithm developed by OpenAI (the company founded by such well-known names as Elon Musk) as an exponent of its capabilities for generating synthetic text with a quality indistinguishable from any other human-created text. The surprising results of GPT-2 led...