Artificial Intelligence Deconstructed
This visualization breaks down the major domains of AI, showcasing its components and applications.
1. Natural Language Processing (NLP): Focused on enabling machines to understand and generate human language. Key tasks include language understanding, speech recognition, sentiment analysis, machine translation, and summarization.
2. Machine Learning (ML): Encompasses techniques like supervised and unsupervised learning, reinforcement learning, transfer learning, and neural networks. It’s the core driving force behind predictive analytics and data-driven decision-making.
3. Computer Vision: Enables AI systems to interpret and process visual data. Applications include image recognition, object detection, facial recognition, and video analysis.
4. Robotics: Involves autonomous systems and human-robot interaction, with advancements in path planning, gesture recognition, and sensor fusion enabling smarter robots for industrial and personal use.
5. Ethics and Safety in AI: Emphasizes building AI responsibly by ensuring fairness, accountability, transparency, and privacy. It addresses algorithmic bias, regulatory compliance, and adversarial attack resilience.
6. Knowledge Representation & Reasoning: Equips AI with logical frameworks for problem-solving and decision-making. It includes knowledge graphs, ontologies, planning, and probabilistic reasoning.
7. Generative AI: Unleashes creativity in machines for tasks like text generation, synthetic data creation, deepfakes, AI-composed music, and more.
