Artificial intelligence (AI) refers to the field of computer science focused on developing intelligent machines that can perform complex tasks, such as analyzing, reasoning, and learning that would typically require human intelligence. AI systems are designed to perceive their environment, reason and learn from data, and make decisions or take actions to achieve specific goals.
Explainable AI (XAI) refers to a set of techniques and processes that help you understand the rationale behind the output of a machine learning algorithm. With XAI, you can meet regulatory requirements, improve and debug your models, and have more trust in your AI models’ decisions and predictions.
As stated above, AI includes machine learning. It also encompasses other techniques such as deep learning, natural language processing, computer vision, and robotics as described below.
Key AI techniques:
- Machine Learning: Using algorithms to enable computers to learn from and make predictions or decisions based on data.
- Natural Language Processing: Enabling computers to understand, interpret, and generate human language.
- Computer Vision: Teaching computers to understand and analyze visual data, such as images or videos.
- Deep Learning: Employing neural networks with multiple layers to process and extract complex patterns and features from data.
- Reinforcement Learning: Training agents to make sequential decisions by receiving feedback from their environment.
- Knowledge Representation and Reasoning: Representing information in a structured manner and using logical rules for problem-solving and decision-making.
- Expert Systems: Building computer programs that emulate human expertise in a specific domain to provide intelligent recommendations or solutions.
- Robotics: Combining AI with robotics to develop intelligent machines capable of perceiving, interacting, and manipulating the physical world.
- Genetic Algorithms: Applying evolutionary principles to solve complex problems by iteratively generating and refining solutions.
- Fuzzy Logic: Handling uncertainty and imprecise information by using degrees of truth rather than strict binary values.
AI’s applications span across industries, including healthcare, finance, transportation, and entertainment. AI has the potential to automate your processes, enhance your productivity, and solve complex problems.