Cognitive Computing: Issues & Challenges

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Aprender TensorFlow en Salamanca

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¡Google ofrece más Machine Learning a los desarrolladores!

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Máquinas que aprenden a pensar

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HOY, UN HUMANO AÚN HA PODIDO SUPERAR AL COGNITIVE COMPUTING, ¿HASTA CUÁNDO?

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Cognitive Computing and BSC: Strategic Positioning View

March 13th, 2016|

  from: BSC -CNS Newsletter Issue 12: March 2016 (PDF version, 2.8Mb) We are entering into an extremely exciting period for interdisciplinary research, where ecosystems like the ones found at BSC, will evolve to cope with new challenges. Cognitive Computing, the next big thing in Big Data, represents a great opportunity for each and every one of us at the Barcelona Supercomputing Center. We are now at a turning point in the history of computing. Throughout its short history, computing has undergone a number of profound changes which can be thought of as waves. In its first wave, computing made numbers computable. The second wave made text and rich media computable and digitally accessible. We are now experiencing a third wave that will also make context computable. This will [...]

Distributed TensorFlow Has Arrived

March 13th, 2016|

The landscape of Deep Learning was impacted in November, 2015, with the release of Google's TensorFlow, what is now the most popular open source machine learning library on Github by a wide margin. Some researchers showed their dissatisfaction with the project because the lack of distributed training capabilities (because such capabilities were directly alluded to in the accompanying whitepaper's title). However, the distributed TensorFlow has arrived, few week ago [*] Google announced an update to its deep learning library and TensorFlow now supports distributed training. The distributed version of TensorFlow is supported by gRPC, which is a high performance, open source RPC framework for inter-process communication (the same protocol used by TensorFlow Serving). Remember that the second most-starred machine learning project of Github is Scikit-learn, the de [...]

In Memoriam – Nacho Navarro, 1958-2016

March 10th, 2016|

I'm very sad to share with you in this blog the passing of my friend and colleague Nacho Navarro. Few days ago Nacho suddenly died from a heart attack at the age of 58. I'm sure that many of the readers of this blog remember Nacho. Nacho was a wonderful person and an exemplary member of our university community. First of all, my sincere condolences to Nacho’s family and friends. However, Nacho has left a great legacy and for this reason BSC and UPC are organizing a homage event for Nacho. It will be an "in memoriam" event next Friday March 18th, at 15:00, in Vertex building, UPC, Placa Eusebi Guell 6, Barcelona. It will consist of many small interventions, with sharings, experiences, anecdotes, we have had with Nacho along all these years. In case you have a contribution to share during the session, please let [...]

Dinars de networking del COEINF : Les màquines intel.ligents ens pendran la feina als enginyers i enginyeres TIC?

March 8th, 2016|

Aquesta proper divendres en Domingo Olmos , degà del  Col·legi Oficial d'Enginyeria Informàtica de Catalunya (COEINF),  m'han convidat a fer la ponència introductòria del dinar de networking dels divendres per compartir la meva visió sobre l’impacte de la revolució digital en el mercat laboral dels professionals de l’enginyeria en informàtica.  Bé, el Degà m'ha suggerir esperonar una mica als companys i companyes que s'apuntin al dinar, i així procuraré fer-ho! Si algú vol compartir aquest dinar amb nosaltres i debatre el nostre futur, a continuació adjunto la informació del COEINF per assistir-hi: Les màquines intel.ligents ens pendran la feina als enginyers i enginyeres TIC? Ja no en dubta ningú que el mercat laboral canviarà profundament en els propers anys, a causa d'avanços en el camp de l'aprenentatge automàtic de les màquines. Aquest fet representa un gran desafiament als treballadors de coll blanc de la [...]

La cuina del futur

March 5th, 2016|

Acabo d'arribar de la presentació del llibre "La cuina del futur". Us el recomano, una obra que presenta les noves eines, productes i tècniques que definiran la cuina i la gastronomia del futur. Quan en Pere Castells, em va proposar revisar-ne un dels seus capítols em va dir: "espero que aquest llibre pugui ser una petita contribució a l’academització de la cuina".  Sens dubte ho ha aconseguit! A més, com ens explicava en la presentació del llibre en Màrius Rubiralta, director del campus de l'Alimentació de la UB, l'acte d'avui  és el primer d’un seguit d’activitats per celebrar la declaració de Catalunya com a Regió Europea de la Gastronomia 2016. Felicitats Pere! I gràcies per l'oportunitat d'aportar el meu petit granet de sorra a aquesta fantàstica obra! Poden trobar més informació del [...]

Art Gallery: Pier and a gazebo on the lake of Torre Girona

March 2nd, 2016|

Today, I’m glad to inform that I have opened a art gallery in this website (link) , that includes some of my latest artistic creations related with BSC and UPC. I wish to include more artworks in the future. The last one is inspired by the pier and gazebo on the lake of Torre Girona  (google maps). Yes! This is the UPC Campus Nord, where the Supercomputer Marenostrum resides! It is a luxury to work in this environment, isn’t?     My art studio: Art Gallery link: http://jorditorres.org/artgallery  

Google launched TensorFlow Serving

February 18th, 2016|

Google launched TensorFlow Serving, that helps developers to take their TensorFlow machine learning models (and, even so, can be extended to serve other types of models) into production.  TensorFlow Serving is an open source serving system (written in C++) now available on GitHub under the Apache 2.0 license. What is the difference between TensorFlow and TensorFlow Serving?  While in TensorFlow is easier for the developers to build machine learning algorithms and train them for certain types of data inputs, TensorFlow Serving specializes in making these models usable in production environments.  The idea is that developers train their models using TensorFlow and then they use TensorFlow Serving’s APIs to react to input from a client. This allows developers to experiment with different models in a large scale that change over time based on real-world data, and maintain a [...]