The absolute challenge here (the real problem statement) is in replicating the mechanics of neural logic.
Many have insights into the basic ideas of it. The concepts of neurons connected by synapse for example. But in reality, it’s much harder once we start to peel back some layers of the onion.
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Fluid conversations are pretty hard to do in artificial intelligence. And once you get to a point or cyclical input/output, you soon realise that you need a lot more flexibility in the logical structures that are the basis for the conversation direction.
It is one thing to design a conversation – but a whole lot of magic is needed to allow that conversation to be hyper flexible.
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It was an absolute privilege to be involved with the Qubit Future of Travel event and also contribute to their industry report. A fantastic group of people to work with.
The video of my talk is now available. In it, I am covering a quick historical view of AI Services and Agents, why AI is now starting to work and how we are progressing through to the new breed of AI, Cognitive Artificial Intelligence.
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With so much media at present using the term “Artificial Intelligence” (AI), I wanted to provide a brief overview of what is meant by the term “Cognitive Artificial Intelligence” (COG).
AI is being used as a catch-all phrase for any software system that performs a function deemed to be clever.
Phrases such as “learning” or “understanding” are often coupled within the same information, although the truth is most often a little less glossy and not entirely consistent with what we as humans may normally refer to as learning or understanding.
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