The real challenges with AI

Nick Ayton
5 min readOct 30, 2021
Quantum Neural Networks have arrived

The emergence of Quantum AI is likely to rattle a lot of cages and scare those in power or with something to hide…

As many people have already said (Hawking, Musk, Gates) Artificial Intelligence is probably the most profound advancement in technology that can have a significant positive impact on humanity or expedite its demise.

There is not doubt AI has significant implications given each of us already use AI each and every day. Predictive texting, voice searches using Siri, interactive maps — the list is endless. AI is already out there, doing what it does best, making sense of the world around us, in its own very deterministic way. It is being fed specific data in a specific format to push the outcome, and why most AI’s are specific and narrow in focus.

For most AI’s, a combination of Machine Learning and Deep Learning algorithms, the parameters and boundaries are set, the data sorted, cleansed and organised and then introduced to the algorithms to see what comes out. As with the Newtonian Laws what tends to happen in science is we create the framework, a set of rules and pass the data as inputs through the rules based framework (maths and logic), where we have an expectation of the outcome.

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Nick Ayton

Nick Ayton is a Polymath, Technologist, Filmmaker, Writer, Speaker