Artificial Intelligence (AI) research is a rapidly evolving field with numerous applications across various industries. In this tutorial, we will explore the basics of AI research and some of its key areas.

Key Areas of AI Research

  1. Machine Learning

    • Supervised Learning: A type of machine learning where the model learns from labeled data.
    • Unsupervised Learning: A type of machine learning where the model learns from unlabeled data.
    • Reinforcement Learning: A type of machine learning where the model learns from interactions with the environment.

  2. Deep Learning

    • A subset of machine learning that structures algorithms in layers to create an "artificial neural network" that can learn and make intelligent decisions on its own.
    • Commonly used for image and speech recognition.

  3. Natural Language Processing (NLP)

    • The ability of computers to understand, interpret, and generate human language.
    • Used in chatbots, translation services, and sentiment analysis.

  4. Robotics

    • The field of engineering that deals with the design, construction, and operation of robots.
    • Combines AI, mechanical engineering, and electrical engineering.

Resources

For more in-depth tutorials and resources on AI research, check out our AI Research Resources.

Deep Learning

Natural Language Processing

Robotics