1
It is an AI application that uses algorithms to identify and verify individuals based on their facial features. It is widely used for security and access control.
2
It involves using statistical algorithms and machine learning techniques to analyze current and historical facts to make predictions about future events.
3
It is a subset of AI that involves the use of algorithms to enable machines to learn from data and make predictions or decisions without explicit programming.
4
They are vehicles equipped with AI and sensors to navigate and operate without human intervention. They use machine learning for tasks like object detection and decision-making.
5
It is a type of Machine Learning that involves neural networks with multiple layers (deep neural networks) to learn and make sense of complex patterns in data.
6
They are a type of neural network designed to work with graph-structured data. They are used in applications where relationships between data points are crucial.
7
It involves the design, construction, operation, and use of robots, often powered by AI. AI in robotics enables robots to perform tasks autonomously or with minimal human guidance.
8
It refers to machine-displayed intelligence that simulates human behavior or thinking and can be trained to solve specific problems. It combines Machine Learning techniques and Deep Learning.
9
It is a branch of AI that focuses on the interaction between computers and humans through natural language. It enables machines to understand, interpret, and generate human-like language. It is the abbreviation of Natural Language Processing.
10
It is a type of deep neural network designed for visual processing, particularly for tasks like image recognition. It uses convolutional layers to detect patterns and features. It is the abbreviation of Convolutional Neural Networks.
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