Bishop and AI news

Stephen Hawking thinks computers may surpass human intelligence and take over the world. This view is based on the ideology that all aspects of human mentality will eventually be realised by a program running on a suitable compu...


Connection Science

All individual members of The Society for the Study of Artificial Intelligence and Simulation of Behaviour have a personal subscription to the Taylor Francis journal Connection Science as part of their membership. How to Acce...


Al-Rifaie on BBC

AISB Committee member and Research Fellow at Goldsmiths, University of London, Dr Mohammad Majid al-Rifaie was interviewed by the BBC (in Farsi) along with his colleague Mohammad Ali Javaheri Javid on the 6 November 2014. He was a...


Rose wins the Loebne...

After 2 hours of judging at Bletchley Park, 'Rose' by Bruce Wilcox was declared the winner of the Loebner Prize 2014, held in conjunction with the AISB.  The event was well attended, film live by Sky News and the special guest jud...


AISB Convention 2015

The AISB Convention is an annual conference covering the range of AI and Cognitive Science, organised by the Society for the Study of Artificial Intelligence and Simulation of Behaviour. The 2015 Convention will be held at the Uni...


Yasemin Erden on BBC

AISB Committee member, and Philosophy Programme Director and Lecturer, Dr Yasemin J. Erden interviewed for the BBC on 29 October 2013. Speaking on the Today programme for BBC Radio 4, as well as the Business Report for BBC world N...


Mark Bishop on BBC ...

Mark Bishop, Chair of the Study of Artificial Intelligence and the Simulation of Behaviour, appeared on Newsnight to discuss the ethics of ‘killer robots’. He was approached to give his view on a report raising questions on the et...


AISB YouTube Channel

The AISB has launched a YouTube channel: ( The channel currently holds a number of videos from the AISB 2010 Convention. Videos include the AISB round t...



AISB event Bulletin Item

CALL FOR PAPERS: 5th Workshop on Optimization in Machine Learning, Dec., 7-8th, 2012, Lake Tahoe, Nevada, USA


We invite participation in the 5th International Workshop on "Optimization for
Machine Learning", to be held as a part of the NIPS 2012 conference.

Join us for an exciting program that includes plenary talks by:

  * Pablo Parrilo (MIT)
  * Francis Bach  (INRIA)

Research contributions from the community form an integral part of our program
and we invite papers for oral and poster presentation in the workshop. We
encourage authors to not only submit finished pieces of work, but also works
currently in progress that you would like to announce and get feedback
on. Accepted submissions will have the option to be considered for a JMLR
special issue for the workshop proceedings.

To encourage cutting-edge participation, the workshop will offer a "best
presentation" award as recognition. We also encourage submissions describing
practical systems and softwares that have been implemented to address various
optimization problems that arise in machine learning.

The main topics are, including, but not limited to:

     * Stochastic, Parallel and Online Optimization,
       - Large-scale learning, massive data sets
       - Distributed algorithms
       - Optimization on massively parallel architectures
       - Optimization using GPUs, Streaming algorithms
       - Decomposition for large-scale, message-passing and online learning
       - Stochastic approximation
       - Randomized algorithms

     * Nonconvex Optimization
       - Efficient nonsmooth global optimization
       - Nonsmooth, nonconvex optimization
       - Nonconvex quadratic programming, including binary QPs
       - Convex Concave Decompositions, D.C. Programming, EM
       - Training of deep architectures and large hidden variable models
       - Approximation Algorithms

     * Algorithms and Techniques (application oriented)
       - Global and Lipschitz optimization
       - Algorithms for nonsmooth optimization
       - Linear and higher-order relaxations
       - Polyhedral combinatorics applications to ML problems

     * Combinatorial Optimization
       - Optimization in Graphical Models
       - Structure learning
       - MAP estimation in continuous and discrete random fields
       - Clustering and graph-partitioning
       - Semi-supervised and multiple-instance learning

     * Practical techniques
       - Optimization software and toolboxes
       - GPU, Multicore, Distributed implementations

     * Applications close to machine learning 
       - Sparse learning, compressed sensing, signal processing
       - Computational Statistics
       - Large scale scientific computing

Important Dates

  * Deadline for submission of papers: 28th September 2012
  * Notification of acceptance: 25th October 2012
  * Final version of submission: 5th November 2012

Please note that at least one author of each accepted paper must be
available to present the paper at the workshop.  Further details
regarding the submission process are available at the workshop


   * Suvrit Sra, Max Planck Institute for Intelligent Systems
   * Alekh Agarwal, Microsoft Research New York
   * Senior Advisor: Stephen Wright, University of Wisconsin, Madison

Further Details