01
Machine Learning Algorithms
We use ML Algorithms to enable systems to learn from data, recognize patterns, and make predictions or decisions based on that learning.
02
Natural Language Processing (NLP)
We use NLP tools to allow AI systems to understand and generate human language, enabling applications such as chatbots, language translation, and sentiment analysis.
03
Computer Vision
We use computer vision technologies to enable machines to interpret and understand visual information from images and videos, facilitating tasks like object recognition, image analysis, and autonomous navigation.
04
Neural Networks and Deep Learning
We use deep learning neural networks, including convolutional and recurrent neural networks, are crucial for handling complex AI tasks like image recognition, speech processing, and language understanding.
05
AI Development Frameworks
We use AI development frameworks like TensorFlow, PyTorch, and scikit-learn to provide the tools and libraries needed to build and train AI models efficiently.