Artificial intelligence is an emerging field in technology that attempts to emulate human brain functions.
Humans show off artificial intelligence by using language, tools, apparatus, and culture, while machines demonstrate primarily robotic artificial intelligence. A comparison between these two types of artificial intelligence can be illustrated by the commonly used acronym, “Wise A Machine.” Basically, this means that a machine is able to reason like a human, but more importantly, it shows no emotions.
Humans have shown strong artificial intelligence throughout their species’ existence. Consider the common cold or flu. While most people would readily identify and treat the common cold, a machine would not. This example illustrates how narrow air has become in recent years. While a broad ai still exists, it is predominantly confined to AI labs and project research.
Challenges to narrowing artificial intelligence
There are many challenges to narrowing artificial intelligence. Some analysts worry that we may create something like superintelligence, which would have human intelligence as its byproduct. Superintelligence, in some definitions, could potentially lead to the singularity, which experts dispute. However, researchers in the computer science field continue to strive toward creating machines with narrow ai, rather than broad ai, to aid the development of artificial intelligence for computer science, medicine, and other fields.
Today, self-driving cars and robotic assistance are just two applications of artificial intelligence. In fact, artificially intelligent machines are now used in many aspects of our day-to-day lives. Examples include self-driving trucks that load goods on the highway, self-driving delivery vehicles that load items at various locations, and even self-driving shuttle buses. The goal of these technologies, and others like them, are to enhance our lives by reducing the amount of human error, preventing needless accidents, and increasing productivity. Such technologies will undoubtedly become widespread over the coming decade.
While some claim that artificial intelligence is superior to human intelligence because it is more versatile, others point out that the two forms of intelligence are similar, and in some ways even interchangeable. After all, when a child shows a level of intelligence beyond what a toddler or adult possesses, that child is classified as a “high-functioning” child. This definition doesn’t necessarily mean that such a child has an intelligence that is more complex than that of an adult, but it does suggest that artificial intelligence and machine learning are similar in a way that both involve a problem-solving, application, and learning. Additionally, while the concept of what is artificial intelligence was first introduced in AI journals and popular press in the 1970s, most people today consider machine learning and artificial intelligence to be synonymous.
Many definitions of AI
Artificial intelligence is described in a variety of ways. One commonly used definition is “the ability to gather and evaluate data, especially in the form of natural language, in order to make reliable predictions about the future.” In other words, this means that an artificial intelligence system can project what is called a “neural network” and use that network to make predictions about the future. These neural networks are typically comprised of recurrent, forward, and backward processing networks. Each of these networks has learned how to make the corresponding decisions, and these decisions can then be executed by a machine (hence, the term, “machine learning“).
Since humans are capable of doing some things better than machines, artificial intelligence systems must adapt. One example of an adaptive machine is the chatbot, which operates online at Yahoo! Answers and other sites. The chatbot uses a database of past questions from users to determine what they most likely need to answer. Humans, on the other hand, are not good at doing this.
Still, experts believe that a truly intelligent machine can achieve more, especially if it is programmed to work as a human would. Artificial intelligence researchers have been making progress in the past decade or so, and experts expect that progress continues in the future. For now, we can say that artificial intelligence solutions like chatbots use a very shallow form of artificial intelligence – they are merely implementing the same general principles of natural language processing that most people are taught in school. However, as artificial intelligence researchers improve their software, these systems will become more able and capable and will continue to make improvements in speech recognition, pattern recognition, voice recognition, natural language processing, and more. Eventually, it may be possible for Internet users to completely interact with these artificially intelligent machines.
The science behind artificial intelligence has developed radically in the last decade and it is expected to do so even more in the ones which follow. The machines are constantly improved to serve as a tool to help humankind survive. It is up to the people to use it wisely and appropriately.