What is Cognitive Artificial Intelligence? A Brief Review

 

Since artificial intelligence has taken its place in every aspect of our lives, I opened this blog to make the terms related to the subject understandable. In my first article, I wrote about artificial intelligence concepts. You can review it by clicking here. Today's topic is cognitive artificial intelligence.

Cognitive artificial intelligence (AI) is revolutionizing how machines understand, learn, and interact with the world. By mimicking human cognitive functions such as reasoning, perception, and decision-making, cognitive AI enables smarter and more adaptive systems.

What Is Cognitive AI?

Cognitive artificial intelligence is a machine system that goes beyond traditional artificial intelligence systems and successfully performs the processes of understanding, learning and reasoning like humans. Cognitive AI takes artificial intelligence to a different level. It takes on the task of bridging the gap between humans and machines. To do this, cognitive artificial intelligence uses systems such as expert systems, neural networks, machine learning, deep learning, natural language processing (NLP), speech recognition, object recognition, and robotics.

How Does Cognitive AI Work?

Cognitive AI collects data using many different methods like APIs, Web scraping, streaming data from IoT devices, Log files, databases, sensor data. Then it moves on to the data interpretation and pre-processing phase. Natural language processing method (NLP) is used in the interpretation of textual data. For numerical data, various methods such as mean imputation, regression estimation, Z-score, IQR (interquartile range) are used. In these operations, libraries such as pandas, sklearn. preprocessing, numpy in the Python language will be very usefulIn the part of understanding and interpreting data, Word2Vec, GloVe, BERT vectorization and transformer-based language models are used for text data. Systems such as Convolutional Neural Networks (CNN) are used for image data and Speech-to-Text for audio data. In the decision-making phase, different methods such as decision trees and natural language generation are preferred.

What are the Features of Cognitive Artificial Intelligence?

Understanding the components of cognitive AI is important to understand its working method and the work it can do. We can list its components as follows:

1. Cognitive AI must be adaptable. The system must be able to adapt as knowledge and goals change.
2. Cognitive AI must be interactive: humans must be able to communicate with machines when necessary and identify their changing needs.
3. Cognitive AI must have a memory similar to human memory. It must be able to store historical data consistently in its memory.
4. It can ask questions to define and explain the problem and can draw additional data from information about previously occurred events. In this context, it should be repetitive and situational.
5. Context is an important feature of Cognitive AI. It allows it to comprehend the situation it is in and react accordingly.

How is Cognitive AI Used in Industries?

Cognitive AI can be used in many different sectors. These sectors can be listed as follows:

1. In the healthcare sector, it can help doctors make faster diagnoses and treatment decisions.
2. In the field of finance and insurance, customer service can be used to prevent negative situations such as fraud.
3. It is used to detect machine malfunctions and maintenance requirements early in the production area.

 I have tried to explain cognitive artificial intelligence in a more understandable way. You can share your suggestions and ideas about the article with me in the comments section. See you in the next article!