Microsoft Research displayed some latest AI software developed by them. The focus was on AI @ home; the software displayed used different kinds of machine learning techniques, where computer software is able to learn how to carry out tasks that are useful to people without having to be programmed to perform that exact task.
[Read Silicon]
Behavioral Learning for Adaptive Electronic Warfare (BLADE) program under DARPA is developing algorithms and techniques to enable U.S. electronic warfare systems to learn to jam new RF threats automatically in the field, instead of waiting for technicians in laboratories to characterize new communications threats and develop countermeasures. This is a clear sign of advancing intelligent technology in electronic warfare.
[Read MilitaryAeroSpace & BLADE]
For the last few years, IBM scientists have been developing the most advanced “question answering” machine, able to understand a question posed by the user, and is expected to respond with a precise answer. In other words, it must do more than what search engines like Google and Bing do, which is merely point to a set of results where you might find the answer. But Watson has to give the correct answer itself. Lets look at Watson in a trivia challenge:
[ MSNBC ]
Machine Learning Summer School 2010’ will be hosted from June 14 – 19, 2010 at IISc Bangalore, from Yahoo! India Research & Development, in partnership with the Indian Institute of Science (IISc) Bangalore. This summer school is targeted towards academia as well as industry with a focus to deliver practical learning with or without machine learning exposure.
Schedule:
| Jun-14 (morning) | Nando De Freitas/Alex Smola Introduction to ML/Graphical Models |
| Jun-14 (afternoon) | Nando De Freitas Gaussian Processes |
| Jun-15 (morning) | Chiru Bhattacharyya Support Vector Machines |
| Jun-15 (afternoon) | Alex Smola Graphical Models and Kernels |
| Jun-16 (morning) | Jayant Haritsa Association Rule Mining |
| Jun-16 (afternoon) | Chiru Bhattacharyya Kernel Methods |
| Jun-17 (morning) | Nando De Freitas Bayesian Optimization |
| Jun-17 (afternoon) | Jayant Haritsa Privacy Preserving Mining |
| Jun-18 (morning) | John Langford Transformation of learning problem |
| Jun-18 (afternoon) | John Langford Learning in contextual bandit settings |
| Jun-19 (morning) | Deepak Agarwal Recommender problems: matrix factorization |
| Jun-19 (afternoon) | Deepak Agarwal Recommender problems: multi-resolution models |
More details visit :http://bangalore.yahoo.com/labs/summerschool.html
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