Dal genio di Alan Turing, che gettò le basi dei computer e dell’intelligenza artificiale, sono stati fatti numerosi progressi e i nuovi calcolatori saranno molto più simili alla mente dell’uomo.

Now, computer scientist Hava Siegelmann of the University of Massachusetts Amherst, an expert in neural networks, has taken Turing’s work to its next logical step.

She is translating her 1993 discovery of what she has dubbed “Super-Turing” computation into an adaptable computational system that learns and evolves, using input from the environment in a way much more like our brains do than classic Turing-type computers. She and her post-doctoral research colleague Jeremie Cabessa report on the advance in the current issue of Neural Computation.

“This model is inspired by the brain,” she says.

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