Artificial intelligence: Development history and future potential

AI (Artificial Intelligence) Artificial intelligence is the latest race between technology giants in the world and opens up unlimited possibilities. What stage are we at this race now and how will AI change the world?

Although called 'artificial intelligence' , this technology is not much related to human thinking or intelligence. In fact, it is another way of programming computer systems , using huge amounts of information and data to 'train' the machine to do a certain job.

Unmanned aircraft used the weight of Amazon's delivery service.

The power and ability of this method lies in its usefulness to the tasks that conventional software development cannot. Because while developing common software and AI development requires a precise definition of the task to be performed, the software needs developers to express the results directly and clearly through the code, in then the AI ​​is superior in that it can automatically or semi-automatically expand the type and difficulty of the task.

Twenty-five years ago, the AI ​​application took its first steps when IBM's Deep Blue system won over world chess champion Garry Kasparov. But this does not prove that AI can solve real life problems and so it is left open.

However, the ability of computing and computer programming is growing and the amount of data growing compared to 25 years ago has become a fundamental condition for the development of AI technology as it is today. A series of products has been applied AI and opened up a future of 'intelligent things' , from Google's search engine, Amazon's Alexa voice assistant, technology to recognize the face of smartphones until the household appliances, even in the field of transport with self-driving cars or unmanned aircraft.

So how does artificial intelligence work? Developed on the idea of ​​how neurons work, AI is actually a complex set of operations, connected together to form a network of related and closely related draw information from those contacts.

The latest advancement in the AI ​​is called Deep Learning , where artificial intelligence networks are grouped into 'layers' between input data (discrete pixels in an image file for example) and output data ( a complete picture with a recognizable face). Such intelligent systems are 'taught' to filter information before huge amounts of data.

The picture illustrates how Deep Learning works.

To understand the potential and influence of AI, we can take the example of the industrial revolution of steam engines in the mid-nineteenth century. The steam engine is the driving force for industrialization before electricity was invented and AI technology will be the driving force for the new revolution in this digital era.

Although there is great potential, AI still has a long way to go to be able to deal with more complex actions such as hand-eye coordination, craftsmanship and art crafting activities or creative actions. We are currently only in the early stages of this technology and new potentials of AI will bring even more desirable changes.