Artificial Neural Networks (ANN) are an artificial intelligence model that mimics the nerve cells of the human brain. This model has the ability to process and learn from data through structures composed of multiple layers. Artificial neural networks are particularly used to analyze complex and large datasets. So, where is this technology used? Let’s explore together.
Image Recognition
Artificial neural networks have revolutionized the field of image recognition. Thanks to this technology, computers can recognize objects, faces, and even text in images. For example, facial recognition features on social media platforms or detecting abnormalities in medical images are powered by artificial neural networks. This provides significant contributions to both security and healthcare.
Voice Response Systems
Voice response systems are another important application of artificial neural networks. These systems understand voice commands and respond to users. For instance, virtual assistants (Siri, Alexa, Google Assistant) have natural language processing capabilities thanks to artificial neural networks. This makes it easier for users to control their devices through voice commands.
Health Data Analysis
Artificial neural networks also have great potential in the healthcare sector. This technology is used in areas such as disease diagnosis, treatment planning, and patient monitoring. For example, artificial neural networks are utilized to predict potential diseases by analyzing patients’ medical histories or to detect abnormalities in MR and CT scans. This helps doctors make faster and more accurate decisions.
Artificial neural networks have a significant impact on many fields today. In areas such as image recognition, voice response systems, and health data analysis, this technology simplifies human life and offers innovative solutions. In the future, we can expect artificial neural networks to advance further and revolutionize many aspects of our lives.
