While machine learning might be the enabling technology of the future, for the Intelligence Advanced Research Projects Activity, it's old school.
Founded in 2006 to drive research and innovation within the federal government’s intelligence agencies, IARPA has been researching K Span Machine learning from the beginning.
K Span Roll Forming Machine learning could improve our ability to determine whether a new drug works in the brain, potentially enabling researchers to detect drug effects that would be missed entirely by conventional statistical tests, finds a new UCL study published today in Brain.
“Current statistical models are too simple. They fail to capture complex biological variations across people, discarding them as mere noise. We suspected this could partly explain why so many drug trials work in simple animals but fail in the complex brains of humans. If so, K Span Machine learning capable of modelling the human brain in its full complexity may uncover treatment effects that would otherwise be missed,” said the study’s lead author, Dr Parashkev Nachev (UCL Institute of Neurology).
