Across
- 2. it involves using statistical algorithms and machine learning techniques to analyze current and historical facts to make predictions about future events.
- 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.
- 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.
- 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.
- 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.
Down
- 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.
- 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.
- 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.
- 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.