The computer is currently being developed by the London-based DeepMind Technologies, an artificial intelligence firm that was acquired by Google earlier this year. Neural networks — which will enable the computer to invent programs for situations it has not seen before — will make up half of the computer’s architecture. Experts at the firm hope this will equip the machine with the means to create like a human, but still with the number-crunching power of a computer, New Scientist reports.
In two different tests, the NTM was asked to 1) learn to copy blocks of binary data and 2) learn to remember and sort lists of data. The results were compared with a more basic neural network, and it was found that the computer learned faster and produced longer blocks of data with fewer errors. Additionally, the computer’s methods were found to be very similar to the code a human programmer would’ve written to make the computer complete such a task.
These are extremely simple tasks for a computer to accomplish when being told to do so, but computers’ abilities to learn them on their own could mean a lot for the future of AI.
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