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Materie / parole chiave: CAMPBELL, JEREMY; TOUCHSTONE BOOK; 006.3 C188i

Abstract Together with ‘On Computable Numbers’, ‘Computing Machinery and Intelligence’ forms Turing’s best-known work. This elegant and sometimes amusing essay was originally published in 1950 in the leading ph...

AI systems write, paint, compose music and so on. Does this mean that their novels, paintings and songs are (or should be) protected by copyright? If so, who would be the author and copyright holder? New AI tools as Chat...

AI systems write, paint, compose music… does that mean that their novels, paintings and songs should be protected by copyright? If so, who would the author and rights holder be? This work provides 25 key factors for an...

This book is a material aimed at training new graduates and updating practising professionals within the framework of early childhood care (0-6 years). It also opens up training to new professions such as health engineer...

En una era donde los datos lo mueven todo, comprender qué es el Big Data y cómo se conecta con la inteligencia artificial se ha vuelto imprescindible. Este libro ofrece una guía clara, actualizada y accesible sobre u...

En la actualidad los datos han cobrado una importancia esencial en las organizaciones que se están transformando digitalmente y convirtiéndoseen data centric para poder ofrecer un servicio de excelencia a todos sus sta...

En la actualidad los datos han cobrado una importancia esencial en las organizaciones que se están transformando digitalmente y convirtiéndose en data centric para poder ofrecer un servicio de excelencia a todos sus st...

The Artificial Intelligence (AI) revolution, in its different manifestations -expert systems, neural networks, intelligent hybrid systems, etc.- brings with it many technological advances. Although this technology has so...

Materie / parole chiave: Refrigeration and refrigerating machinery; Automatic control; Energy conservation; Mathematical models; Artificial intelligence; Industrial applications; Food industry; Technological innovations

Materie / parole chiave: Machine learning; Artificial intelligence; Electronic books

Materie / parole chiave: Neural networks (Computer science); Artificial intelligence; Information networks; Machine learning

Materie / parole chiave: Artificial intelligence; Machine learning; Bioinformatics; Biotechnology; Pharmacology

Materie / parole chiave: Computer science; Technological innovations; Machine learning; Artificial intelligence

Materie / parole chiave: TensorFlow; Machine learning; Artificial intelligence

An attentional mechanism has lately been used to improve neural machine translation (NMT) by selectively focusing on parts of the source sentence during translation. However, there has been little work exploring useful a...

During the last decade, the data sizes have grown faster than the speed of processors. In this context, the capabilities of statistical machine learning methods is limited by the computing time rather than the sample siz...

Neural machine translation is a relatively new approach to statistical machine translation based purely on neural networks.The neural machine translation models often consist of an encoder and a decoder.The encoder extra...

Kyunghyun Cho, Bart van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, Yoshua Bengio. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2014...

The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an encoder-decoder configuration. The best performing models also connect the encoder and decoder through an at...

Human evaluations of machine translation are extensive but expensive. Human evaluations can take months to finish and involve human labor that can not be reused. We propose a method of automatic machine translation evalu...

We consider the problem of classifying documents not by topic, but by overall sentiment, e.g., determining whether a review is positive or negative. Using movie reviews as data, we find that standard machine learning tec...

Tree boosting is a highly effective and widely used machine learning method. In this paper, we describe a scalable end-to-end tree boosting system called XGBoost, which is used widely by data scientists to achieve state-...

A training algorithm that maximizes the margin between the training patterns and the decision boundary is presented. The technique is applicable to a wide variety of the classification functions, including Perceptrons, p...