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A stroll through Marenostrum IV computing resources

2017-09-18T12:45:59+00:00 September 18th, 2017|

Enclosed you will find the slides that I used in my last visit to the Torre Girona chapel with UPC students. The slides show the awesome computational power of the Marenostrum IV supercomputer and the presentation of the architecture required to get it.  I have posted these transparencies (and photo) for my students as I promised them. But anyone who wants to know a little more about the Marenostrum can take a look at them to realize the magnitude of this supercomputer.      SLIDESHARE slides

Getting started with DLAI course labs

2017-09-18T22:30:09+00:00 September 15th, 2017|

Getting Started With DLAI Course Labs Actually this post is intended for my students of the DLAI course, although as 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. As you will see, the practical component is an important part of this part, where the "learn by doing" method is used, with a set of Hands-on that will starts with this post. 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 [...]

El nuevo iPhone X y su hardware especializado en Deep Learning e Inteligencia Artificial

2017-09-13T23:09:15+00:00 September 13th, 2017|

El nuevo iPhone X y su hardware especializado en Deep Learning e Inteligencia Artificial Ayer, 12 de septiembre,  tuvo lugar el evento de presentación de productos de Apple para anunciar el lanzamiento de sus nuevos modelos de Apple Watch, Apple TV, sistemas operativos, y , para finalizar, nuevas versiones de su producto estrella el iPhone , y en especial su espectacular iPhone X.  Hoy todos los medios destacaban el evento y daban diferentes respuestas a porqué el mercado está dispuesto a pagar más de mil euros por un iPhone. Quizás porque el nuevo iPhone X dispone de nuevas prestaciones, tales como el reconocimiento facial o realidad aumentada que le permiten considerarse "el futuro del smartphone" que ofrecen inteligencia artificial en el dispositivo. Para ello hace falta un hardware avanzado que me gustaría presentarles puesto [...]

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 [...]

Barcelona will be present at CVPR’2017 with many contributions

2017-08-08T13:21:22+00:00 July 14th, 2017|

The IEEE Conference on Computer Vision and Pattern Recognition 2017, 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, where Deep Learning is gaining momentum.  This year the conference will be held between July 21-26, , in Honolulu (Hawaii, USA). Our research group at BSC-CNS  and UPC Barcelona Tech will be present at CVPR'2017 with contribution in two workshops. I'm happy to have this awesome opportunity, thanks to our collaboration with the research group at UPC Barcelona Tech  led by  Xavier Giró i Nieto.  We hope that with our effort and collaboration, we can help to turn Barcelona into an Deep Learning hub.  Throughout the next academic year, we will promote different initiatives in this direction. For [...]

New Deep Learning for Artificial Intelligence MSc course in Barcelona

2017-08-17T16:31:21+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 [...]

Marenostrum 4 will come in production on July 1st

2017-08-17T16:34:28+00:00 June 29th, 2017|

    Today, Sergi Girona, Operations Director at BSC,  inform as that on July 1st  MareNostrum 4 will come in real production for the first research projects that uses the general purpose block of Marenostrum 4. Great new!  I want to thanks the Operations department for their maratonian work. MareNostrum IV peak power is 11.15 Petaflops, or what is the same, it is able to perform more than eleven thousand trillion operations per second, ten times more than the MareNostrum3, which was installed between 2012 and 2013. Although its power is ten times greater than that of its predecessor, it only increases energy consumption by a 30% and now is of 1.3 MWatt/year. It have two distinct parts: General Purpose part and Emerging Technologies part. General Purpose  MareNostrum IV is a supercomputer based [...]

Cursa BTT Repicacorriols d’Argentona

2017-08-17T16:31:48+00:00 June 24th, 2017|

Aquest  juny finalment hem tingut la cursa de BTT  Repicacorriols 2017 a Argentona, un gran èxit, sens dubte. Feia temps que en Piu ens perseguia amb l'idea de tornar a muntar una cursa de BTT com la que vàrem organitzar al 1990 una colla d'amics. Aleshores varen ser 20 km de recorregut amb sortida i arribada a la Plaça Nova (foto: Organitzadors de la cursa el 10 de juny de 1990). En Piu, el de vermell a la foto del 1990, ha sabut engrescar una munió de amics i amigues per a fer realitat la repicacorriols.cat 27 anys més tard. En Piu sap fer equip!. Però gens fàcil ha estat aconseguir que fos realitat la cursa, i per això aconsello llegir el post d'en Salva al blog BTT Argentona que ha sabut plasmar les intenses aventures viscudes durant el [...]

Primeros pasos en Keras

2017-08-17T16:32:00+00:00 June 20th, 2017|

Keras es una librería de Python que proporciona de manera limpia y sencilla la creación de una gama de modelos de Deep Learning encima de otras librerías TensorFlow, Theano o CNTK. Keras fue desarrollado y es mantenido por François Chollet, un ingeniero de Google, y su código ha sido liberado bajo la licencia permisiva del MIT. Características básicas de Keras (*) Desconozco si fue la intención de François Chollet, pero personalmente valoro la austeridad y simplicidad que presenta este modelo de programación, sin adornos y maximizando la legibilidad. Permite expresar redes neuronales de una manera muy modular, considerando un modelo como una secuencia o un solo grafo. Una buena aproximación, a mi entender, porque los componentes de un modelo de Deep Learning son elementos discretos que [...]

First contact with Keras

2017-08-08T14:01:17+00:00 June 18th, 2017|

. . Keras is a Python library that provides a clean and convenient way to create a range of deep learning models on top of  powerful libraries such as TensorFlow, Theano or CNTK. Keras was developed and maintained by François Chollet, a Google engineer and it is released under the permissive MIT license. Basic features of Keras (*) I do not know if it was Chollet's intention, but I value his austerity and simplicity, without frills approach and maximizing readability. It makes it possible to express neural networks in a very modular way, considering a model as a sequence or a graph alone. A good approximation to my understanding, because the components of a deep learning model are discrete elements that can be combined in arbitrary ways. New [...]