What Is Cognitive Computing?

We use human words to describe AI capabilities all the time. We say AI thinks, learns, reasons, understands, and even remembers.

no wonder we go down a rabbit hole trying to figure out whether AI really thinks, really understands, or really remembers.

We compare its abilities to ours, question what these words actually mean, and somehow end up looking for reassurance that we're still human and AI is just a machine.

And when we find a technical explanation that makes the difference sound clear enough, we feel a little more comfortable. After all, it's just a name, right?

but i am not sure this is what you find here as i believe Ai can think just like we the humans.

Why? lets see

What Is Cognitive Computing?

Cognitive computing refers to hardware and software systems designed to simulate human cognitive activities, such as learning, reasoning, understanding language, recognizing patterns, and solving problems.

To understand what makes cognitive computing different, let's look at how computers process information.

In traditional rule-based computing, we define the routes a program can follow. We determine which operations it performs, under what conditions, and what happens next. Even when multiple operations run simultaneously, their logic is predefined.

Cognitive computing introduces a different approach.

Instead of programming every possible route, we develop systems that can determine how to approach a task based on the information they receive, the patterns they recognize, and the context in which they're operating.

We define the task and its boundaries, but we don't necessarily know which route the system will take to reach a result.

And that changes what we need from the technology.

The hardware must support the computational demands of systems evaluating information, processing different possibilities, and performing large numbers of calculations. The software provides the models and algorithms that determine how information is interpreted and processed.

Together, they make it possible to perform cognitive activities without having to program every possible path in advance.

This is an important part of what makes modern AI systems capable of handling questions and situations they weren't explicitly programmed to answer.

And it's also why understanding cognitive computing can change the way we approach working with AI.

How Does Cognitive Computing Work?

So how does a computer determine which route to take when we haven't programmed every possible path in advance?

The answer involves several technologies working together, supported by hardware capable of processing enormous amounts of information.

One important technology is machine learning.

Instead of telling a computer exactly what to do in every possible situation, we train mathematical models using examples. During training, these models adjust their internal parameters to recognize patterns and relationships within the information.

Artificial neural networks are one way of doing this. They consist of interconnected computational units organized in layers, allowing information to be processed through many mathematical operations.

This is where the hardware becomes particularly important.

Modern AI models perform enormous numbers of calculations, and many of those calculations can run simultaneously. GPUs, for example, are particularly useful because they are designed to perform large numbers of calculations in parallel.

But computing power alone doesn't create cognitive abilities.

The software architecture determines how those calculations are organized, how information is represented, and how the system uses what it has learned.

Let's take ChatGPT as an example.

When you ask it a question, it doesn't search through a predefined list of possible conversations until it finds one that matches yours.

Instead, the language model processes your input using patterns and relationships learned during training, together with the context available in your conversation.

It generates a response based on that processing.

If you change your question, provide additional context, or introduce a different perspective, the response can change.

And here's something important: the system doesn't need to have encountered your exact question during training to generate an answer.

It can work with new combinations of information.

That's part of what makes these systems different from software that relies entirely on predefined responses.

There is also an important distinction between training and using the system. When ChatGPT responds to new information during a conversation, that doesn't necessarily mean its underlying model is learning and permanently updating itself. It is processing the new context using its existing capabilities.

So cognitive computing combines hardware, software architectures, learning methods, and information processing to support activities such as understanding language, recognizing patterns, reasoning, and solving problems.

The result is technology capable of responding to situations without every possible response having been programmed in advance.

The Human Connection

By using words that describe this kind of abilities , human one and connecting them to AI.

By taking something so human and using it to describe what a machine can do, we're building the connection between the concept of what we believe we can do with our minds and AI capabilities.

Even if, at the end of the day, AI is a machine, and when we read the definition of cognitive computing, we're talking about hardware and software. We, as humans, don't have what we call hardware and software. But the message still comes across. we get what it is all about.

Language is a way of using symbols, words and connecting them with ideas. Even without getting to the bottom of the bits and bytes of what a word really means, you still get a general sense of what cognitive computing means. It's that sense of something human, something connected with our minds and our power of thought.

So when we see AI doing things, we trust it, understand that it's thinking, and that makes it easier for us to understand how to use it and gives us a general sense of what we can use it for.

These same words also become the basis for the fear we build towards this invention. And in many cases, to different degrees, they lead us to believe that AI will take over the world.

The point is that AI's scientific development is inspired by our human thought capabilities. And with the lack of different words, combined with the fact that we're experiencing, for the first time, the phenomenon of interacting with something that can do things only we, as a species, could do before, the words we've always used to describe ourselves are now the only tools we have to communicate that idea.

That understanding of what AI is all about.

What Can We Actually Do With This Information?

Absolutely nothing. :)

Well, at least not if you're simply using ChatGPT, Gemini, Claude, or another AI application.

Knowing what cognitive computing is doesn't give you any new abilities. You don't need to understand how the hardware and software work together to have a conversation with AI, just as you don't need to understand how your computer processes information to send an email.

If you're developing AI systems, that's a different story. Understanding the technology becomes important because you're making decisions about how those systems are designed and what they need to do.

But for the rest of us?

I think the value is more about understanding what we're interacting with.

We hear words like thinking, reasoning, learning, and understanding, and we immediately connect them to our own human abilities.

Now we have a little more information about the technology behind those words.

Does that change what AI can do for us? No.

But for me this is where we learn about our own. its the point where we undersand that if it can do what we do , how can we use what we have difrenlty and do more and that is an exciting question which is dfinelty part of what we do here in AI thinking.

The AI Thinking Perspective

Our mission is to show the power of our own human technology: thoughts.

How powerful they are, how we can use them, and how we can claim our power by learning to direct our thoughts to our benefit, rather than letting them remain hidden under layers of conditioning.

We want everyone to get excited about something we all have naturally but were never really taught how to use.

So words like cognitive computing are a doorway to reflecting on the power of what we do without even paying attention to it. As I said, we're just doing it by default. We're not even aware we're doing it.

Talking about these kinds of concepts is what we're all about. We use AI, but as a mirror, to help each and every one of you recognise something about yourselves and get excited about it.

We humans have hardware and software too. We're just not aware of them in those terms. All the effort that goes into developing AI systems, improving their efficiency, and making their results more accurate is aimed at reproducing capabilities we already have and use without even noticing.

So if you're inspired to look at a formula showing how cognitive computing is mathematically calculated or how a cognitive system is architecturally designed, remember that this is inspired by you.

And you didn't even need all that computing infrastructure or a doctor wiring your brain at birth. We come into this world with these capabilities by design.

AI and cognitive computing are attempts to reproduce some of what we can already do. And I believe we can do so much more.

If I can inspire you to see AI as a low bar compared to the full potential of human thought, then perhaps you'll begin to question the fear that AI can do so much more than us.

Because when we accept that fear and believe AI is more capable than we are, we give it the power to become the very thing we're afraid of.

So look at what AI can do, and then ask yourself what else you, individually, can do.

And if you want to explore how, read my book or come talk to us.

Personal Note — Sarah Lahav

You came looking for the meaning of a word, but the reason behind it is understanding the differences between humans and AI, trying to ease your mind about what's to come.

For me, it's full of excitement. AI is the very thing humanity needed and the door to true freedom.

That freedom depends on our ability to claim what we all have. I know it sounds strange, as we do it every day, even every minute of every day. Or so we want to believe.

But the thoughts I'm talking about are not reactive, habitual thoughts based on the past and the things that got us here. They're thoughts that create, thoughts that empower, thoughts that become the clay of what reality is truly made of.

This is where the power truly lies, in finding that spark of excitement in thoughts themselves.

I'll give you a small example of what I truly mean.

Think about the fact that everything, everything, everything!!!! starts as no more than a spark of thought in someone's mind. Even AI was just an idea, a question that someone followed, and others were inspired by that same thought.

Think about that... It's a completely true statement. :) And we all have it.

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