ignacioarnaldo.github.io

ignacioarnaldo

View the Project on GitHub ignacioarnaldo/ignacioarnaldo. I am a postdoctoral associate at the Any-scale Learning For All (ALFA) group. Of the Computer Science and Artificial Intelligence Lab at MIT. My research interests include but are not limited to Machine Learning, Evolutionary Computation, and parallel architectures with special focus on cloud and GPU computing. I hope you will find (some of) these releases useful! Code releases by Ignacio Arnaldo. Leader and main contributor.

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View the Project on GitHub ignacioarnaldo/ignacioarnaldo. I am a postdoctoral associate at the Any-scale Learning For All (ALFA) group. Of the Computer Science and Artificial Intelligence Lab at MIT. My research interests include but are not limited to Machine Learning, Evolutionary Computation, and parallel architectures with special focus on cloud and GPU computing. I hope you will find (some of) these releases useful! Code releases by Ignacio Arnaldo. Leader and main contributor.

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ignacioarnaldo | ignacioarnaldo.github.io Reviews

https://ignacioarnaldo.github.io

View the Project on GitHub ignacioarnaldo/ignacioarnaldo. I am a postdoctoral associate at the Any-scale Learning For All (ALFA) group. Of the Computer Science and Artificial Intelligence Lab at MIT. My research interests include but are not limited to Machine Learning, Evolutionary Computation, and parallel architectures with special focus on cloud and GPU computing. I hope you will find (some of) these releases useful! Code releases by Ignacio Arnaldo. Leader and main contributor.

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ignacioarnaldo.github.io

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Thermal-aware 3D floorplanner by ignacioarnaldo

http://ignacioarnaldo.github.io/floorplanning

C /CUDA code of the Direct Mapping floorplanner. View the Project on GitHub ignacioarnaldo/floorplanning. We introduce Direct Mapping, a new floorplanner suitable for the thermal optimization of large 3D Multiprocessor Systems-on-Chips (3D MPSoCs). Below we show an example of a thermal optimization of a Niagara architecture composed of 48 cores distributed in 4 layers:. Three-dimensional (3D) integration is widely recognized as today’s most promising alternative to provide increased performance and chip ...

2

OpenStreetMap2graph by ignacioarnaldo

http://ignacioarnaldo.github.io/OpenStreetMap2Graph

Maps of real-world cities in graph representation (with nodes and edges). Parse geojson files retrieved from Mapzen-OpenStreetMap. Generate graphs in gexf format for analysis and visualization. View the Project on GitHub ignacioarnaldo/OpenStreetMap2Graph. Generate graph representations (with nodes and edges) of real-world cities:. Check out the examples of NYC, Boston, and the amazing Madrid:. The resulting graphs are big! Snapshot of the roads. Step 1: Download geoJSON data. Step 3: Generate the graph.

3

ARM-Java by ignacioarnaldo

http://ignacioarnaldo.github.io/arm-java

Java implementation of the Adaptive Regression by Mixing algorithm. View the Project on GitHub ignacioarnaldo/arm-java. Adaptive Regression by Mixing. Adaptive Regression by Mixing (ARM) was introduced in:. Yuhong Yang: Adaptive Regression by Mixing. Journal of American Statistical Association, 96:454, 574-588, 2001. For futher details, please check the overview of the ARM algorithm. Step 1: Data format. Data must be provided in csv format where:. Each line corresponds to an exemplar. Step 3: Running ARM.

4

Mondrian Tableaux by ignacioarnaldo

http://ignacioarnaldo.github.io/generateMondrianTableaux

Generate simple Mondrian Tableaux. View the Project on GitHub ignacioarnaldo/generateMondrianTableaux. Have you ever seen one of Mondrian's Tableaux and thought: "mmmm I could paint that". Well, this tutorial explores an AI method to generate. Let's start by examining these handcrafted examples:. We can generate a large number of Tableaux like these ones following simple 4 steps:. Split the first row into two (also with a one-third vs two third split) or into three equal columns. Split tableau into 2 rows.

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Last summer I joined PatternEx. As chief data scientist. PatternEx. Is a SF bay area startup developing an artificial intelligence platform for InfoSec. The platform leverages state-of-the-art machine learning and artificial intelligence algorithms for real-time attack prevention in enterprise applications. We are building a team. Group of the Computer Science and Artificial Intelligence Lab. Blog at WordPress.com.

ignacioarnaldo.github.io

ignacioarnaldo

View the Project on GitHub ignacioarnaldo/ignacioarnaldo. I am a postdoctoral associate at the Any-scale Learning For All (ALFA) group. Of the Computer Science and Artificial Intelligence Lab at MIT. My research interests include but are not limited to Machine Learning, Evolutionary Computation, and parallel architectures with special focus on cloud and GPU computing. I hope you will find (some of) these releases useful! Code releases by Ignacio Arnaldo. Leader and main contributor.

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Momentos y caminos del tiempo. Miércoles, 27 de julio de 2011. La conquista del vuelo del ave. Publicado por Ignacio Arriagada. Viernes, 17 de junio de 2011. Erupción en el Cordón del Caulle. Publicado por Ignacio Arriagada. Miércoles, 12 de mayo de 2010. Publicado por Ignacio Arriagada. Martes, 4 de mayo de 2010. Publicado por Ignacio Arriagada. Sábado, 24 de abril de 2010. Publicado por Ignacio Arriagada. Sábado, 17 de abril de 2010. The Last 3 Minutes. Publicado por Ignacio Arriagada.

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