The rights of autonomous, artificial entities, such as certain algorithms, that can make their own decisions.
A machine learning technique that allows the model to work on its own to discover patterns and information that was previously undetected.
AI is one of the cornerstone technologies of the future. Intelligence refers to the ability of machines to change, adapt and grow, based on new data.
A machine that is capable of understanding the world as well as any human, and with the same capacity to learn how to carry out a huge range of tasks.
Artificial intelligence that has surpassed all human intelligence: it has become smarter than the smartest humans, in multiple tasks and at all aspects of life.
The ability of a computer to self-learn without explicit instructions. It can perform certain tasks autonomously.
Definition of reinforcement learning Reinforcement learning is learning by trial and error. A robot attempting to climb over a wall and succeeding after many set-backs would be an example of reinforcement learning. This explainer will be expanded. Stay tuned!
AI with limited capabilities, compared with what is to come. It can do one or a few tasks.
An algorithm is a finite sequence of well-defined, computer-implementable instructions, typically to solve a class of problems or to perform a computation. Algorithms are unambiguous specifications for performing calculation, data processing, automated reasoning, and other tasks.