Barcelona will be present at CVPR’2017 with many contributions

July 14th, 2017|

New Deep Learning for Artificial Intelligence MSc course in Barcelona

July 7th, 2017|

Primeros pasos en Keras

June 20th, 2017|

First contact with Keras

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 [...]

Democratización del Deep Learning: su potencial al alcance de todos

June 2nd, 2017|

En 10 años, cuatro de las cinco empresas más grandes del mundo por capitalización de mercado han cambiado.  Exxon Mobil, General Electric, Citigroup y Shell Oil están fuera y Apple, Alphabet (la compañía matriz de Google), Amazon y Facebook han tomado su lugar. Solo Microsoft mantiene su posición.   Ya se han percatado que todas ellas son empresas  que dominan la nueva era digital en que nos encontramos inmersos. Estamos hablando de empresas que basan su poderío en inteligencia artificial en general, y en particular Deep Learning. Acuñada la palabra en 1950 por John McCarthy, la Inteligencia Artificial existe desde hace décadas. Sin embargo, el progreso ha sido limitado hasta ahora porque los algoritmos requeridos por los problemas del mundo real son demasiado complejos para que la gente pueda [...]

TensorFlow counterattacks to Caffe2

May 4th, 2017|

Few days ago appeared Caffe2 as a new player on the scene of Deep Learning frameworks with impressive performance scaling results on DGX-1. Tonight, Tensorflow shown the same numbers and the GitHub code to prove it yourself: My last post finished with this Q&A: "Will Caffe2 steal the supremacy that TensorFlow has right now? I do not have a crystal ball. My opinion is that It seems not easy, but it is the only one that could be a competitor for Google especially in the production arena in companies. We will see it soon, because Facebook has to hurry, the window of time to get it will be very small." Let me add: The window is about to close if Facebook does not work fast and hard!   UPDATE 9-May (thanks to Maurici Yagües):  :-)       [...]

Caffe2: A new player on the scene of Deep Learning frameworks

April 25th, 2017|

Few days ago Facebook announced Caffe2, a new open-source, cross-platform framework for deep learning. They say that Caffe2 is the successor to Caffe ( really?), the deep learning framework developed by Berkeley AI Research and community contributors. Caffe2’s GitHub page describes it as “an experimental refactoring of Caffe that allows a more flexible way to organize computation.” As my readers know, when appeared TensorFlow I decided to pay attention to it because it could change the scene of DL/AI frameworks. Now, we are in the same situation, Caffe2 could change the current scene that Francesc Sastre, one of my master students,  build for his master thesis:  "Frameworks popularity evolution in GitHub" No questions, right? Facebook launched Caffe2, an open-source deep learning framework made with expression, speed, and modularity in mind. It address the bottlenecks observed [...]

Artificial Intelligence & Barça

March 22nd, 2017|

Ayer participé en la jornada de formación interna “Ciencia y Tecnología aplicada", dirigida a directivos del área de innovación y cuerpo técnico del FC Barcelona, hablando de Inteligencia Artificial. En la sesión también participó Josep Lladós, director del Centre de Visió per Computador (CVC) y José Ignacio Latorre, catedrático de Física Cuántica de la Universitat de Barcelona.  Fantásticas presentaciones las de Josep y José Ignacio. Viéndolos, uno se da cuenta de lo mucho que siempre queda por aprender. Espero que la gente del Barça sacara valor de los contenidos de la jornada. Gracias por invitar al BSC-CNS. Tal como me comprometí adjunto (un poco tarde ;-) ) las transparencias de la presentación.  También adjunto unas fotos que me tomo Anna Escoda del BSC-CNS. Gracias Anna. Artificial Intelligence overview from Barcelona Tech UPC [...]

The importance of Supercomputing in Artificial Intelligence

December 13th, 2016|

Today I gave a talk about the importance of Supercomputing in the area of Artificial Intelligence as keynote at  #27 CO-SESSION ARTIFICIAL INTELLIGENCE IN BUSINES event organised by co-society. Attached  you will find the slides of today's talk. In the past, a lot of companies wished they had started thinking earlier about their Internet strategy. I think in a few years from now there will be a number of companies that wish they had started thinking earlier about their AI strategy. I hope that you are not one of these companies.   The importance of Supercomputing in Artificial Intelligence from Barcelona Tech UPC - Barcelona Supercomputer Center BSC

Hierarchical Object Detection with Deep Reinforcement Learning

December 8th, 2016|

This week, Barcelona hosts the 30th Annual Conference on Neural Information Processing Systems (NIPS 2016), a machine learning and computational neuroscience conference that includes invited talks, demonstrations and oral and poster presentations. It covers topics ranging from deep learning and computer vision to cognitive science and reinforcement learning. NIPS is one of the top Machine Learning and Artificial Intelligence conferences in the world: 6,000 attendees at #NIPS2016 in Barcelona with a sold out weeks before start date. NIPS has become the academic and industry AI conference, growing near-exponentially over the past decade and local mass media  don't pay attention to the event , incredible!. Tickets for the main conference, despite nearly doubling in quantity since last year, sold out more than 6 weeks before the event. Tomorrow, December 9th, we will present our contribution in hierarchical object detection with deep [...]