CMU researchers may be creating technology that speeds up the progress of medical advances that can help us live longer. From Bio IT world:
“The researchers published their findings in a paper last month (“Graphical Models for Structured Classification, with an Application to Interpreting Images of Protein Subcellular Location Patterns,” Journal of Machine Learning Research, Volume 9, p. 651 to 682, April 2008).
In their paper, they discussed the benefits of using current computer vision systems to distinguish patterns that are difficult for humans to detect. But they noted how in many cases the automated systems may confuse similar patterns. This confusion can only be resolved by considering neighboring cells – something that has been impractical because of computing limitations.
That’s where the new technique comes in. The CMU researchers were able to expand the analysis to multiple cells by increasing the efficiency of the belief propagation algorithm, which is an algorithm widely used in many artificial intelligence applications.”