Today’s world is driven by data; computational data science has impacting various sectors and making advancements across industries. By leveraging computing tools, machine learning algorithms and infrastructures, raw data are transformed into powerful insights to enable business innovation, improve efficiency, and solve complex problems.
Computational data science
- Statistical science
- R Studio
- MATLAB
Artificial Intelligence (AI)
Turing test
The Turing test is a widely recognised benchmark for evaluating a machine’s ability to demonstrate human-like intelligence. The core idea is simple: A human judge engages in a text-based conversation with both a human and a machine. The judge’s task is to determine which participant is human and which is the machine. If the judge is unable to distinguish between the human and the machine based solely on the conversation, the machine is said to have passed the Turing Test.
The goal of AI
Within AI there has been little effort to pass the Turing test. Reason: To test if a machine resembles a human being (or to simulate intelligence) is not very useful. Instead, it is more important to understand the principles of intelligent behaviour (e.g. learning, reasoning, decision-making), and using them to build intelligent system that can solve complex problems.
Table of contents
Back to parent page: index
Reference: