The concept of artificial intelligence (AI) has been around for decades, but it wasn't until recently that it has become a reality. AI works by combining large amounts of data with fast, iterative processing and intelligent algorithms, allowing software to automatically learn from patterns or characteristics of the data. With the integration of application processing interfaces or APIs, aspects of AI can be incorporated into existing software, increasing its normal function with AI. The idea of developing an intelligent computer was first discussed in the 1950s by Alan Turing and his colleagues.
Turing's 1950 article “Computing Machinery and Intelligence” and its subsequent Turing test established the fundamental objective and vision of AI. Creating superintelligence by imitating the human brain, he added, will require not only sufficiently powerful hardware, but also an “adequate initial architecture” and a “rich flow of sensory information”. AI is transforming the way the world works and will continue to do so as time goes on. It allows machines to model, and even improve, the capabilities of the human mind.
A reactive machine follows the most basic principles of AI and, as its name suggests, is only capable of using its intelligence to perceive and react to the world in front of it. Human intelligence has a much greater capacity for multitasking, memories, social interactions, and self-awareness. Things like visual perception, voice recognition, decision-making and word translation are things that would normally need human intelligence, but now computer programs can use their intelligence and ability to solve these tasks. For now, this is a completely hypothetical situation in which machines are fully aware of themselves, surpassing even human intelligence in practically every field, from science to social skills.
AI is unlocking the mystery of how machines can think like humans.