Data of the people by the people for the people Marcel Salathé, EPFL @marcelsalathe

Source URL: opendata.ch

• Computational neuroscience
• Artificial intelligence
• Cybernetics
• Ai
• Artificial general intelligence

Using NEAT for Continuous Adaptation and Teamwork Formation in Pacman Mark Wittkamp, Luigi Barone, Member, IEEE, and Philip Hingston, Senior Member, IEEE Abstract— Despite games often being used as a testbed for new co

Source URL: www.csse.uwa.edu.au

• Computational neuroscience
• Pac-Man
• Z80
• Arch Linux
• Ghost
• Escape
• Score
• Artificial neural network
• Artificial intelligence

Learning with probabilities as inputs, using kernels Arthur Gretton Gatsby Computational Neuroscience Unit NIPS workshop on Probabilistic Numerics, 2015

Source URL: probabilistic-numerics.org

Is Holism A Problem For Inductive Inference? A Computational Analysis Maxwell A. Bertolero () Thomas L. Griffiths (tom ) Department of Psychology & Helen Wills Neuroscience Ins

Source URL: cocosci.berkeley.edu

• Network theory
• Graph theory
• Networks
• Statistical models
• Algebraic graph theory
• Community structure
• Modularity
• Connectivity
• Bayesian network
• Graphical model
• Graph
• Clique

DjiNN and Tonic: DNN as a Service and Its Implications for Future Warehouse Scale Computers Johann Hauswald Yiping Kang Michael A. Laurenzano Quan Chen Cheng Li Trevor Mudge Ronald G. Dreslinski Jason Mars Lingjia Tang C

Source URL: web.eecs.umich.edu

• Computing
• Computer architecture
• GPGPU
• Parallel computing
• Computer engineering
• Computational neuroscience
• Graphics hardware
• Deep learning
• DNN
• Graphics processing unit
• Artificial neural network
• Convolutional neural network

November 14, 2014 Post-Doctoral Position in Computational Neuroscience Available Applications are invited to fill an immediate opening for a Postdoctoral Research Fellow in Computational Neuroscience in the Biomedical A

Source URL: www.mcell.psc.edu

Challenging the Internet of the Future with Urban Computing Emanuele Della Valle1,2 , Irene Celino1 , Kono Kim3 , Zhisheng Huang4 , Volker Tresp5 , Werner Hauptmann5 , and Yi Huang5 1

Source URL: onespace.kmi.open.ac.uk

• Semantics
• Computational neuroscience
• Emerging technologies
• Artificial neural network
• Mathematical psychology
• Semantic Web
• Urban computing
• Semantic heterogeneity

Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies Yangqing Jia1 , Joshua Abbott2 , Joseph Austerweil3 , Thomas Griffiths2 , Trevor Darrell1 1 UC Berkeley EECS 2 Dept of

Source URL: cocosci.berkeley.edu

• Statistics
• Artificial intelligence
• Machine learning
• Cognition
• Computational neuroscience
• Concept learning
• Learning theory
• ImageNet
• Artificial neural network
• Supervised learning
• Support vector machine
• Probability distribution

Psychon Bull Rev DOIs13423THEORETICAL REVIEW A rational model of function learning

Source URL: cocosci.berkeley.edu

• Statistics
• Econometrics
• Regression analysis
• Statistical models
• Computational neuroscience
• Computational statistics
• Gaussian process
• Linear regression
• Bayesian network
• Artificial neural network
• Machine learning
• Nonparametric regression

Visual Control in Quake II with a Cyclic Controller Matt Parker and Bobby D. Bryant Abstract— A cyclic controller is evolved in the first person shooter computer game Quake II, to learn to attack a randomly moving enem

Source URL: www.csse.uwa.edu.au

• Cybernetics
• Evolutionary algorithms
• Artificial neural networks
• Computational neuroscience
• Evolutionary computation
• Neuroevolution
• Genetic algorithm
• Control theory
• Controller
• Retina