"To test the model, the team presented full street scenes consisting of previously unseen examples from the Street Scene Database. The model scanned the scene and, based on its supervised training,
recognized the objects in the scene. "
That's very impressive. The system was trained using random street scene images containing distinct objects such as trees, cars and people, and over time learned to distinguish these types of objects in pictures presented later. The article also mentions that the algorithm used is more versatile than traditional computer based object recognition systems.
"For the first time, a team of researchers in the Movement, Adaptation, Cognition Laboratory (CNRS/University Victor Ségalen, Bordeaux) has revealed the existence of an
interaction at the cellular level between cognitive information and motor information"
Also exciting. And it could have implications in better understanding/treating Parkinson's disease.
"My point is that the ability to manipulate symbols, which is what today's computers do, is not the same as the ability to have
consciousness."
Interview with John Searle - The Boston Globe. Sure he said that computation wasn't a machine process, but that was before they developed the new biological algorithm in the first article above. The ante is upped.