Artificial intelligence is undoubtedly one of the most popular technologies today. As its use cases continue to expand, it continues to amaze people with what it can do. So, what is artificial intelligence? What is its purpose? You can find the answers to these questions and all the details about artificial intelligence (AI) in the rest of our article.
Artificial intelligence is the ability of a machine to exhibit human-like skills such as reasoning, learning, planning, and creativity. It enables technical systems to perceive their surroundings, cope with what they perceive, solve problems, and act to achieve a specific goal. A computer receives data, either pre-prepared or collected through its own sensors like a camera, processes it, and responds. AI systems have the ability to adapt their behavior to some extent by analyzing the effects of previous actions and operating autonomously.
Some AI technologies have been on the market for more than 50 years, but advancements in computing power, the availability of vast amounts of data, and new algorithms have propelled artificial intelligence into breakthroughs in recent years. Artificial intelligence is seen as central to society’s digital transformation and is certain to become an indispensable part of our daily lives in the near future.
Artificial intelligence is quite successful in mimicking human intelligence in specific areas. Its success sparks curiosity about how it works and the logic behind it. Artificial intelligence processes large-scale data using smart algorithms. The data directly supports the learning process of artificial intelligence, thereby producing desired outputs in various fields.
Put simply, artificial intelligence systems contain vast amounts of data. This data is processed through intelligent algorithms inherent in the artificial intelligence system. The processed data is then analyzed to produce the desired outputs.
While artificial intelligence is often defined in a broad sense, it encompasses various types and systems within itself. Here are some details about these different options:
Machine Learning is one of the most popular subfields of artificial intelligence. It enables computers to analyze data, learn patterns, and make predictions based on them. In this system where modeling is based on data, the ability to perform various operations through these models is developed.
As the name suggests, machines (computers) make a difference by learning in the fields where machine learning is applied. Some of the areas where machine learning is used include automation, finance, healthcare, image recognition, and natural language processing.
Deep learning technology is a subfield of machine learning. This technology utilizes multi-layer artificial neural networks to perform tasks such as analyzing complex data and recognizing patterns. It excels in handling complex tasks in large datasets. It is used in various fields such as autonomous vehicles, natural language processing, and image processing.
Artificial Neural Network (ANN) is a mathematical model that mimics the neural network found in humans. It is used for processes such as prediction, pattern recognition, and data analysis. It is one of the fundamental technologies used in machine learning and deep learning.
Advanced algorithm allows for much more effective, rapid, and high-level analysis of data. It is used for recognizing rare scenarios, understanding complex systems, and similar tasks.
While achieving deep learning through neural networks, the aim is to utilize as much data as possible. Deep layers contribute to the use of neural networks consisting of different layers, enabling access to a larger dataset.
The working principle of artificial intelligence varies depending on the specific AI subfield or technology used. However, it is remarkable that each technology possesses astonishing capabilities and yields surprising results.
Artificial intelligence is a reality of our present era and is utilized in many fields. The reasons for the use of artificial intelligence are as follows:
As a result of such effects, it increases productivity and profitability. Consequently, it elevates the competitiveness of businesses. This situation turns the use of artificial intelligence into a necessity rather than a choice.
It is very successfull for those who want to learn and develop artifıcial intelligence.