The term Neural Turing Machines belongs to the category of Artificial Intelligence and Digital Transformation. Neural Turing Machines, often abbreviated as NTMs, are a special type of artificial neural network. Their goal is to help computers learn better and remember information better – similar to how a human with memory.
Imagine a normal Artificial Intelligence is like a student without a notebook; they can solve problems, but they forget much of it quickly. A Neural Turing Machine, on the other hand, works with a kind of „digital notebook“. This allows it to store important information, access it, and reuse it when needed.
A clear example: A chatbot with Neural Turing Machine technology can not only answer simple questions, but can also remember previous conversations. It still knows in the afternoon what you told it in the morning, and can therefore respond in a more personal and context-specific way.
Compared to conventional neural networks, Neural Turing Machines are therefore more flexible and powerful when it comes to tackling complex tasks that require real memory.
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