Learn more about ai
How AI really works ?
Artificial intelligence (AI) is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by humans or animals.
Leading AI textbooks define the field as the study of “intelligent agents”: any system that perceives its environment and takes actions that maximize its chance of achieving its goals.
What is AI?
3 types of AI
The different types of AI depend on the level of intelligence embedded into an agent, a system, or a robot.
Artificial Narrow Intelligence (ANI)
Machine learning
Refers to a computer’s ability to perform a single task extremely well, such as crawling a webpage or playing chess.
Artificial General Intelligence (AGI)
Machine intelligence
The ability of an intelligent agent to understand or learn any intellectual task that a human being can.
Artificial Super Intelligence (ASI)
Machine consciousness
It’s a software-based system with intellectual powers beyond those of humans across an almost comprehensive range of categories and fields of endeavor.
What is Machine Learning?
3 types of Machine Learning
Machine Learning (ML) is a branch of artificial intelligence (AI) that enables computers to learn from data and improve their performance over time without being explicitly programmed for each task. Machine Learning algorithms fall into three categories.
Unsupervised
Learning
Uses Unlabeled Data
Unsupervised learning involves identifying patterns and structures within unlabeled data, without predefined output labels.
Supervised
Learning
Uses Labeled Data
Supervised learning uses labeled data to train models that learn patterns and predict outcomes based on input features and corresponding output labels.
Reinforcement
Learning
Uses Environment Interactions
Reinforcement learning involves an agent learning from rewards and penalties in an interactive environment.
Machine learning
The rein-forcement learning
Reinforcement learning (RL) is an area of machine learning concerned with how intelligent agents ought to take actions in an environment in order to maximize the notion of cumulative reward.
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OECD.AI
Distinguishing between AI & Non-AI Systems
The OECD has released an explanatory memorandum on its updated definition of an AI System.
“An AI system is a machine-based system that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environments. Different AI systems vary in their levels of autonomy and adaptiveness after deployment.”