Robotics is the branch of technology that deals with the design, construction, operation, and application of robots. It’s essentially about creating machines that can perform tasks autonomously or semi-autonomously. Key Characteristics / Core Concepts Automation: Robots automate repetitive or dangerous tasks, increasing efficiency and safety. Programming: Robots are controlled by sophisticated programs that dictate their … Read more
Reinforcement learning (RL) is a type of machine learning where an agent learns to make decisions by interacting with an environment and receiving rewards or penalties for its actions. It’s all about learning through trial and error. Key Characteristics / Core Concepts Agent: The learner and decision-maker. Environment: The world the agent interacts with. State: … Read more
Neural networks are computing systems inspired by the biological neural networks that constitute animal brains. They are a subset of machine learning and artificial intelligence. Key Characteristics / Core Concepts Artificial Neurons: These are the fundamental processing units, mimicking biological neurons. They receive input, perform calculations, and produce output. Layers: Neural networks are organized into … Read more
Natural Language Processing (NLP) is a branch of artificial intelligence (AI) that focuses on enabling computers to understand, interpret, and generate human language. It bridges the gap between human communication and computer understanding, allowing machines to process and analyze vast amounts of textual and spoken data. Key Characteristics / Core Concepts Understanding Context: NLP algorithms … Read more
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It combines aspects of mathematics, statistics, computer science, and domain expertise to analyze and interpret complex data sets. Key Characteristics / Core Concepts Data Collection: Gathering raw data from various sources. … Read more
Deep learning is a subfield of machine learning that uses artificial neural networks with multiple layers (hence “deep”) to analyze data and extract complex patterns. It’s a powerful technique used to build sophisticated AI systems. Key Characteristics / Core Concepts Uses artificial neural networks with many layers. Learns from large datasets without explicit programming. Can … Read more
Cybernetics is the interdisciplinary study of the structure and function of regulatory systems in both animals and machines. It focuses on communication and control processes within and between systems. Key Characteristics / Core Concepts Feedback Loops: Central to cybernetics is the concept of feedback loops, where the output of a system influences its input, allowing … Read more
Computer science is the study of computers and computational systems. It deals with their theory, design, development, and application. Key Characteristics / Core Concepts Algorithms and data structures: Efficient ways to organize and process information. Programming languages: Tools for instructing computers to perform tasks. Software engineering: The systematic development and maintenance of software. Computer architecture: … Read more
Computer vision is the field of artificial intelligence (AI) that enables computers and systems to “see” and interpret images and videos in the same way that humans do. It involves developing algorithms and techniques that allow machines to extract meaningful information from visual data. Key Characteristics / Core Concepts Image Acquisition: Capturing visual data using … Read more
Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning, reasoning, and self-correction. Key Characteristics / Core Concepts Machine Learning: AI systems learn from data without explicit programming. Deep Learning: A subset of machine learning using artificial neural networks with multiple layers. Natural Language Processing (NLP): … Read more