Common definitions of artificial intelligence tend to run along the lines of AI being a subfield of computer science with machine learning being a subsection of it. All it means is machine learning is merely a computer that is programmed to learn on its own without any more specific programming needed. It can learn as it goes along its task, progressively improving its performance, without any direction from anyone. But it takes AI to do that. Artificial Intelligence is needed to oversee that process, so both are interconnected.
AI experts have categorized this into three different disciplines. The first one, level one, is considered a type of raw intelligence. Some call it ‘Narrow AI’. It powers voice assistants like the ones on phones and chatbots. Siri and Amazon’s Alexa use this. Companies can use this by downloading certain algorithms they can use to undertake specific tasks.
The next level is called by most as the ‘General AI’. It’s about software learning to train itself. An example was given as self driving cars that can be used to deliver products within a certain area, and will teach itself the best routes and most efficient ways to deliver them. It takes into account factors like traffic and weather, and when the customer will be home to receive that product. Pretty cool, if you ask me.
The third level is the super intelligence, ‘Super AI’. This is quantum technology. Now to go any further with this part, let’s look at what these terms mean.
According to Merriam-Webster dictionary
Quantum – quan·tum – (kwän(t)əm) In PHYSICS it is a discrete quantity of energy proportional in magnitude to the frequency of the radiation it represents. Or – it’s the smallest amount of many forms of energy (such as light)
In other words: a : any of the very small increments or parcels into which many forms of energy are subdivided
b : any of the small subdivisions of a quantized physical magnitude (such as magnetic moment)
It’s all very technical.
Quantum Technology, according to Wikipedia, is:
a new field of physics and engineering, which transitions some of the properties of quantum mechanics, especially quantum entanglement, quantum superposition and quantum tunneling, into practical applications such as quantum computing, quantum sensors, quantum cryptography, quantum simulation, quantum metrology and quantum imaging.
Again, very technological. It’s hard to understand unless you’re very into this kind of thing.
At any rate, this third level of AI, Super AI, will make computers have sincerely awesome processing and learning skills. It’s predicted that all this will happen within the next ten years and will very likely be at the heart of such technology as we have yet to imagine.
All this will mean a change in our culture, in our outlook on life even, and how we do things from then on. In this next, Super AI, phase of society, any business that wants to succeed will need to be strong on brand, innovation and service. Big on service, which we all know has slacked in these past years. For the general public to succeed, more education will be needed in the new technology, which shouldn’t be too difficult if we start our children out right. Get them involved in it from the start, which most people do today anyway by letting them have phones and ipads at early ages. Kids pick up on these things so much easier than adults. I know. My little nieces and nephews make me look like an idiot sometimes. All this we’ll have to do because technology is moving forward. At a pace that will have some people screaming. And businesses are going to insist on using this technology, if for no other reason than machines don’t go out nights and get drunk. So. . .onward we go.