How do they differ and what do they protect us from? One of the possible definitions of privacy is the right that all people have to control information about themselves, and particularly who can access personal information, under what conditions and with what guarantees. In many cases privacy is a concept that is intertwined with…
GPT-3, OpenAI’s new language model, can program, design and even talk about politics or economics. Fed with massive web crawling, it predicts writing and code with a few instructions. The beta API of OpenAI’s latest language model, GPT-3 has been recently published. With this tool some developers have started to show what this platform is…
A shunned science not long ago, Natural Language Processing is enabling humans to interact with machines in ways not possible only a few years ago. The new types of human-machine collaboration will enhance our abilities as humans and enable us to process more informed decisions in business, in health, in communication. Natural Language Processing is…
Sometimes we have to deal with huge volumes of data and handle long texts. Automatic text summarization refers to the shortening of long texts in order to create coherent and fluent summaries in which only the important aspects of the original texts are present. Inside text summarization we can distinguish two techniques: Abstractive text summarization aims to…
Unfortunately as it may seem, bias can creep in at many stages of a deep-learning process. But how does AI bias happen? AI is based on Big Data and the patterns it learns from it auyomatocally, in unsupervised ways. Machine learning has helped us overcome mechanization in favor of automation, but the price we are…
More often than not, the discourse about artificial intelligence verses about either the potential misuse or dangers of the technology, racial data bias, bad use of facial recognition applications by governments and corporations or the negative consequences of its deployment on labor and society at large (job losses, humans becoming data farms, robotized societies). This…
In 2019, English is undoubtedly the main language used in AI. However, the application of artificial intelligence tends to take place in many scenarios and countries, and across different languages. Creating and training algorithms with data in other languages, such as Spanish would open the door to a global market of 580 million Spanish speakers,…
Anybody involved in translation can benefit from NMT systems: from freelancers to corporate CEOs, NMT has applications for pretty much every business venture. It is highly adaptable, fast and efficient and offer near-human quality.
The iADAATPA pan-European consortium has built a dynamic router that can smoothly switch between domain-specific neural machine translation engines, and produce near-human machine translations. The iADAATPA consortium became MT-Hub, an open-source framework for Public Administrations to manage and route machine translation requests. Speedy cross-border communications are always a challenge for industry, services and public administrations,…
As the name may disclose, Sentiment Analysis refers to a process by which data is mined in order to extract contextual meaning. The alluring aspect, albeit hidden from the name, is that this process is carried out by a machine. Through Sentiment Analysis, an automated engine is proficient at determining and categorising the emotional tone…
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