In The Next 20 Years, We Will Experience Many Changes In Our Field Of Work Compared To Two Decades Ago. I Think We Are At Dawn, A New Era In Human History. 

Artificial Intelligence, If We Look At Human History, We Find That There Have Been Four Major Historical Eras Defined In The Course Of Human Life. 

The age of hunting and the age of agriculture lasted several thousand years, and the age of industry lasted several centuries. Now the information age has lasted only a few decades, and we are at the starting point of the next great age.

In my opinion, the new age is called the age of completion. In this new age, natural human capabilities are enhanced by computing systems that help you think, robotic systems that help you build, and a digital nervous system that connects you to a world beyond your natural senses. Put your step. It is better to look at the subject of the evolution of consciousness.

How many evolved cyborgs have you seen so far? I mean, people living with biomechanical extensions?

In fact, what I mean by the above is to explain that we are already evolving. Imagine that someone asks you a question that you do not know the answer to at a party.

If you have one of these cyborg organs, you can answer in a matter of seconds, but this is just the beginning. Even Apple’s Siri is a passive, emotionless tool. In fact, for the past three and a half million years, the tools we have had were completely numb. They did what we asked for, and they could not do more.

Our most basic tools only cut when we hit, and even most advanced tools do nothing without our explicit guidance. In fact, it is a matter that many people call the present, that we are always limited to the need to apply our desires to the tools manually. Just like the handicrafts we use our hands to make.

Even when working with a computer, we still need to be clear about things.

Suppose we want to talk to a computer. We want to say computer, let’s build a car and show me a car. Next, we say that it should look better and the computer shows another example.

Plus, the conversation (with the computer) may not be so soon, maybe less than most of us think, but right now, we’re working our way up. Tools that jump from passive to productive.

Productive design tools use a computer and algorithms for geometric composition to emerge with new designs that have all been their own work. All it takes is your goals and your framework.

A simple example

Let us give an example in this regard. For this drone chassis, all you need to do is tell it something like it has four propellers, you want it to be as light as possible, and you need it to be aerodynamically efficient, and that’s what a computer does. It examines all the possible solutions and uses every possible case that meets your criteria.

It takes big computers to do this, but it came to us with the idea that we, ourselves, had never imagined and that a computer with this ability is emerging that no one has ever designed.

And this (computer) started the design completely from scratch because algorithms are designed to work in a way that evolves.

What excites us is that we started to see this technology in the real world. We have been working on an Airbus aircraft with this concept for the future for two years.

The method is still working.

But recently, we used a productive artificial intelligence from which an interesting example has emerged. This is a 3D print of a cabin partition designed by a computer. Stronger than the original model, weighing half, it is widely used in the Airbus A320.

In short, computers are now able to produce; they offer their own solutions to our well-defined problems. But they are not sensory. Still, they have to start over for every (design) because they are never trained.

Let’s go back to 1952. The computers of that time were made for dosing (tick-tock). It was a big deal! Forty-five years later, in 1997, Deep Blue (computer chess) defeated Casparo in a game of chess.

In 2011, Watson defeated two human participants in a Jeffrey In TV contest, which is harder for a computer than chess. In fact, instead of working on a preconceived notion, Watson had to use reason to counter his human rivals.

In the end, the software designed by Google’s Deep-Mind company, Alfago, defeated Goo, the strongest man in the game, which is the most difficult game known. In fact, in Go Game, the possible moves for this game are more than the atoms in the universe.

Speedy technological advancement

Advances in the world of information technology are happening very fast. I mean, consider. In the lifetime of a human, computers have evolved from children’s games to what we call the pinnacle of strategic thinking. It’s true? They have gained insight from pure logic. While many people never cross this bridge!

You make important decisions in a fraction of a second, and this is exactly the vision that our deep learning systems are now beginning to upgrade.

Soon, you will be able to show exactly what you have made and designed to a computer, and the computer will look at it and say, “Sorry buddy, this will never work.”

You have to try again.

Or ask him if people will like your next song, or about a new taste of ice cream, or, more importantly, solve a problem with the computer that you have never encountered before.

For example, climate change is one of them. What I’m talking about is that technology enhances our perceptual abilities that, as old unfinished human beings, we can imagine and design things that are simply beyond our reach.

Now imagine Hamid Reza Taebi, who has little or no knowledge in many areas, answering all the questions in a fraction of a second with a smart chip.

The goal is to achieve a level of perception that artificial intelligence provides to humans, not just artificial intelligence.

Human-robot interaction and cooperation

What about making all these stupid new things we’re going to invent and design? In my opinion, the human age has evolved as much as it does in the physical world, in the virtual and intellectual realm. So how does technology complement us? In the physical world, the answer is robotic systems. There is certainly a fear that robots are taking over from humans.

In certain areas, this is a fact. But I’m more interested in the idea that the collaboration of humans and robots leads them to evolve into each other and start living in a new space.

The San Francisco Applied Robotics Research Laboratory is one of the areas of focus on advanced robots.

Especially the field of human-robot cooperation. So, it is not easy for a robot and a human to work together in simple English and do basic human cooperation tasks. To do this, the robot must be perceptible.

This is an exciting project that the big Silicon Valley companies are working on. The goal of one of these projects, called HIVE, is to provide a prototype of the collaborative experience of humans, computers, and robots to solve complex design problems.

In this project, a man is supposed to act as a worker, walk around the structure under construction, shape the bamboo by hand. Since bamboo is a different material than other materials, it’s challenging for robots to do.

But then the robots (fibers) wrap the fiber, which is almost impossible for humans to do, and then we have artificial intelligence that controls everything and tells humans what to do.

Interestingly, it is impossible to build such projects without human interaction, robots, and artificial intelligence.