Factors that have triggered the potential of Deep Learning

2017-09-29T09:55:04+00:00 September 27th, 2017|

In reality, this post was intended for my DLAI course's students, although I think it may be of interest to other students. I am going to share in this blog the teaching material that I am going to generate for the part of DLAI course that will cover the basic principles of Deep Learning from a computational perspective.  update 29/09/17: Slides will be available next week. Artificial Intelligence and Neural Networks, are not a new concepts! Why, all of a sudden, have them become the next big thing that is changing our life again during this decade? Deep Learning is changing our life I'm sure you have doubtlessly noticed quantum leaps in the quality of a wide range of everyday technologies.   In Speech Recognition  the transcription of [...]

Programming Models for Deep Learning

2017-09-27T10:08:29+00:00 September 24th, 2017|

Programming Models for Deep Learning In reality, this post was intended for my DLAI course's students, although I think it may be of interest to other students. I am going to share in this blog the teaching material that I am going to generate for the part of DLAI course that will cover the basic principles of Deep Learning from a computational perspective. Recent years, as a result of the increase of the popularity of Deep Learning, many frameworks have surged in order to ease the task of create and train models. Frameworks use different programing languages, strategies to train the models or compute the data and different characteristics as distribution or GPU acceleration support. Most of these frameworks are open sourced and their popularity can be shown in the following Figure from Francesc [...]

First Steps with KERAS

2017-10-15T15:22:54+00:00 September 23rd, 2017|

First steps with KERAS In reality, this post was intended for my DLAI course's students, although I think it may be of interest to other students. I am going to share in this blog the teaching material that I am going to generate for the part of DLAI course that will cover the basic principles of Deep Learning from a computational perspective. This post provides a fast-paced introduction to the KERAS API required to follow the DLAI Labs (Master Course at UPC - Autumn 2017). I will teach the part of DLAI course that will cover the basic principles of deep learning from computational perspectives. In this part we will review the basics of KERAS, a high-level neural networks API, written in Python and capable of running on top of [...]

Getting started with DLAI course labs

2017-10-04T12:20:07+00:00 September 15th, 2017|

Getting Started With DLAI Course Labs In reality, this post was intended for my DLAI course's students, although I think it may be of interest to other students. I am going to share in this blog the teaching material that I am going to generate for the part of DLAI course that will cover the basic principles of Deep Learning from a computational perspective. This post provides a fast-paced introduction to the basic technologies and knowledge required to follow the DLAI Labs (Master Course at UPC - Autumn 2017). I will teach the part of DLAI course that will cover the basic principles of deep learning from computational perspectives. In this part we will review the latests advances in computing platforms, system middleware and DL frameworks required for current [...]

Mining urban events from the tweet stream through a probabilistic mixture model

2017-09-11T12:02:51+00:00 September 10th, 2017|

Mining urban events from the tweet stream through a probabilistic mixture model We are pleased to inform that we can publicly share a full-text view-only version of our last paper  "Mining urban events from the tweet stream through a probabilistic mixture model" published in Data Mining and Knowledge Discovery journal, as part of the Springer Nature SharedIt initiative. This paper is part of the work that our brilliant PhD student Joan Capdevila is doing. His PhD is co-advised with Jesús Cerquides from the IIIA -CSIC research centre. The geographical identification of content in Social Networks have enabled to bridge the gap between online social platforms and the physical world. Although vast amounts of data in such networks are due to breaking news or global occurrences, local events witnessed by users [...]

Inteligencia Artificial: Aplicaciones que lo adivinan todo

2017-09-01T12:39:58+00:00 August 24th, 2017|

Hace unos dias en La Vanguardia apareció un excelente artículo titulado “Aplicaciones que lo adivinan todo” para el que me llamo Albert Molins  para contrastar alguna ideas mientras lo estaba escribiendo.  Siempre es un placer hablar con Albert. Soy consciente que esta vez la notícia llega un poco tarde a este blog que audita mis actividades, pero me cogió haciendo un receso obligado para cargar pilas.   Les dejo adjunto transcripción del texto en castellano y a continuación en catalán del diario LA VANGUARDIA.   Aplicaciones que lo adivinan todo Identifican todo tipo de cosas, pero también obtienen información sobre los usuarios Los más veteranos seguro que recuerdan a Akinator, el genio de la web. Una página donde un genio nos pedía que pensáramos en un personaje, real o no, que él [...]

BSC at the 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

2017-08-17T16:31:10+00:00 July 26th, 2017|

The 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) is over.   CVPR'2017 is the premier annual computer vision event comprising the main conference and several co-located workshops, the best meeting point for students, academics and industry researchers in this area. This year Deep Learning and Artificial Intelligence were the focus of the conference, an this was the reason why BSC-CNS  has been present with contributions in two workshops: Disentangling Motion, Foreground and Background Features in Videos: Our model and source code are publicly available at this https URL  The paper that contains the detailed contribution can be downloaded from arxiv repository. SalGAN: Visual Saliency Prediction with Generative Adversarial Networks: Our model and source code are publicly available at this https URL .  The shorter extended abstract presented as spotlight in the CVPR 2017 Scene [...]

New Deep Learning for Artificial Intelligence MSc course in Barcelona

2017-09-25T12:26:48+00:00 July 7th, 2017|

Deep Learning for Artificial Intelligence Master Course at Universitat Politècnica de Catalunya (Autumn 2017) Deep learning technologies are at the core of the current revolution in artificial intelligence for multimedia data analysis. The convergence of large-scale annotated datasets and affordable GPU hardware has allowed the training of neural networks for data analysis tasks which were previously addressed with hand-crafted features. Architectures such as convolutional neural networks, recurrent neural networks or Q-nets for reinforcement learning have shaped a brand new scenario in signal processing. This course will cover the basic principles of deep learning from both an algorithmic and computational perspectives.  Complete learning systems in different Deep Learning frameworks and platforms will be introduced via hadns-on, projects and assignments. You will learn to solve new classes of problems [...]

Máquinas que aprenden a pensar

2017-08-08T22:48:07+00:00 March 20th, 2016|

Hoy en el diario La Vanguardia el periodista Albert Molins Renter ha escrito un reportaje muy recomendable de leer sobre "máquinas que aprenden a pensar" incluyendo al Barcelona Supercomputing Center (BSC-CNS) y la Universitat Politècnica de Catalunya (UPC) como fuentes de información, además de Julio Prada de la empresa Inbenta. Incluye también una columna de análisis,"la nueva mente de los robots",  del periodista Francesc Bracero. Un reportaje muy oportuno, aprovechando el debate abierto en torno a que el sistema informático AlphaGo ha ganado al campeón del mundo en el juego del Go, para que todos vayamos tomando consciencia del mundo que se nos avecina. No dejen de leerlo, e interesarse por este tema. Las cosas van a cambiar, y mucho!  La llegada de esta nueva era tecnológica transformará la manera en que [...]

La Inteligencia Artificial y el futuro de los ingenieros informáticos

2017-08-09T12:13:09+00:00 March 1st, 2016|

En la edición anual del World Economic Forum de Davos se ha insistido en que estamos ante la cuarta revolución industrial, marcada por avances tecnológicos como la inteligencia artificial  o el machine learning, y en la que los ordenadores serán todavía más sabios. Esto presenta profundas implicaciones en nuestra sociedad tal como la conocemos; consecuencia de ello se está empezando a generar un vivo debate sobre las repercusiones que tendrá la presente revolución, polarizando la opinión pública en bandos opuestos: los optimistas y los pesimistas, los utopistas y los excesivamente pragmáticos. En cualquier caso, todos coincidimos en que el mercado laboral cambiará profundamente en los próximos años; en esta línea, el informe titulado The Future of Jobs del World Economic Forum estima que dos de cada [...]