Ar-Ge Çalışmaları

1. Deep Neural Networks (DNN)

Deep Learning learns from data using the deeper and more complex structures of neural networks. Thanks to their multi-layered structure, these networks are capable of higher levels of abstraction and recognizing more complex patterns. Deep Neural Networks developed by Biorobotec provide results with high accuracy rates in various application areas.

2. Image Recognition and Processing

Deep Learning techniques enable the automatic analysis of images and videos. This technology is used in areas such as object recognition, face recognition, medical image analysis and security applications. Biorobotec offers image processing solutions powered by Deep Learning algorithms, making it easier to make sense of and analyze complex visual data.

3. Voice and Speech Processing

Deep Learning has the ability to analyze and process voice and speech data. This technology is used in areas such as speech recognition, voice assistants, voice command systems and language learning applications. Biorobotec develops solutions that extract meaningful information from voice and speech data using Deep Learning techniques.

4. Natural Language Processing (NLP)

Deep Learning plays an important role in the field of natural language processing (NLP). This technology is used in tasks such as text analysis, language modeling, meaning extraction and text generation. With Deep Learning-based NLP solutions, Biorobotec enables the understanding and processing of text data so that language-based applications become more effective.

5. Recommendation Systems

Deep Learning is used to develop systems that provide personalized recommendations by analyzing user preferences. E-commerce, media and content platforms use Deep Learning algorithms to make recommendations based on users' interests. Using this technology, Biorobotec provides recommendation systems that improve user experience and satisfaction.

6. Anomaly Detection

Deep Learning techniques are used to detect unusual and unexpected behavior in data sets. This technology is important in areas such as fraud detection, machine failure analysis and security threat identification. By developing anomaly detection solutions with Deep Learning, Biorobotec improves operational safety and efficiency.

7. Gaming and Simulation

Deep Learning is also used in game development and simulations. This technology is used to learn the behavior of game characters and model the dynamics of game environments. Biorobotec creates smarter and more realistic gaming and simulation experiences with Deep Learning methods.

8. Robotics and Automation

Deep Learning enables better learning and decision-making capabilities in robotics and automation systems. This technology helps robots perceive their environment and perform complex tasks. Biorobotec improves the performance of industrial and service robots with Deep Learning-based robotics solutions.