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What’s Artificial Intelligence (AI)?

by EngineeringBigData

Learn about artificial intelligence at R-Algo Engineering Big Data

In contrast with natural intelligence which is what some animals and human beings possess, artificial intelligence or AI is intelligence that is displayed by systems and machines. The world of computer science has defined artificial intelligence as any gadget or system that makes decisions based on its environment and maximizes the chances that it will succeed at some certain set goal without any human input. Artificial intelligence is a term used when machines mimic some of the cognitive functions that are undertaken by human beings when dealing with their environment and each other such as problem-solving and learning.

This technology has led to the development of smart systems that learn from the information that they have been fed with and also from experience to perform human-like functions. Some examples of enabled systems to include self-driving cars and computers that play chess which rely heavily on natural language processing and deep learning. By making use of these technological developments, computer systems can be trained to achieve particular tasks by processing vast amounts of data and coming up with patterns that are evident in the information that has been analyzed.

The History of Artificial Intelligence

Artificial intelligence was first coined in 1956. However, machine learning has gone mainstream today all thanks to significant improvements automation and in the storage and power of computers, advanced algorithms and increased volumes of data that are produced by companies and other business organizations on a daily basis. Symbolic methods, problem-solving and other topics were among the first to undergo artificial intelligence research in the early 1950s. The US Defense Department took an interest in this field in the 1960s and started to train computers and robotics systems in the mimicking of basic human cognizant functions and reasoning. For instance, street mapping projects were completed by the Defense Advanced Research Projects Agency (DARPA) in the 1970s.

In 2003, intelligent personal assistant systems were produced courtesy of DARPA long before Cortana, Alexa, and Cortana became household names. Such work was critical in paving the way for formal automation and reasoning that is evident today in computer systems. Such intelligent systems include smart search and decision support systems have the potential to be engineered to complement human capabilities.

Importance of Artificial Intelligence

Discovery and repetitive learning through data: artificial intelligence is a little bit different from robotic automation which is majorly hardware driven. Artificial intelligence performs high-computerized tasks that are extremely high volume and hardware-driven without fatigue which improves their reliability. Human inquiry is still important for this form of automation in asking the right questions and setting the system up.Artificial intelligence adds intelligence to products that were already in existence. this technology is in most cases not purchased as a single application such as in robotics. Instead, its capabilities are incorporated in systems that are already in the market. For instance, Siri was incorporated as a new feature into a wide range of gadgets produced by Apple. Smart machines, bots, conversational platforms, and automation can be combined with vast amounts of information to have numerous technologies both at the workplace and at home improved including investment analysis and home security intelligence.

Adaptation through continuous learning algorithms: these systems finds regularities and structure in data collected so that the algorithm can acquire some particular skill. Consequently, the algorithm transforms to become either a predictor or a classifier. The same way intelligent computer systems can teach themselves how to play poker and chess, they can also teach themselves what product to recommend to consumers who are shopping via an online platform. These models adapt automatically to a new environment such as when they have been fed with new sets of data. The machine learning-enabled system adjusts to new environment courtesy of back propagation through added data and training.

Robotic systems can now achieve high accuracy levels courtesy of deep neural networks which was thought to be impossible just some decades ago. For instance, deep learning is the basis of the functions for Google Photos, Google search, and Alexa which keep on improving their accuracy the more we use them. In the field of medicine, artificial intelligence and machine learning capable robotics can be used to identify malignant tissues in the human body using MRI with the same level of accuracy as trained radiologists.

How Machine Learning is Being Used

AI capabilities are in extremely high demand by most industries, government agencies, and business organizations. These are especially in systems that will answer questions to the consumer such as medical research, risk notification, patent searches and any form of legal assistance. The following are some of the significant applications of artificial intelligence and machine learning:

Retail industry

machine learning offers capabilities for virtual shopping that provide recommendations that are highly personalized to the specifications that have been given by the consumer. Site layout technologies and inventory management have also seen a significant improvement all thanks to artificial intelligence. Chatbots have also eliminated the need for online stores to have sales representatives and customer care agents. Chatbots answer all the queries that the consumer may have regarding a certain product and how it will be delivered without the human limitation factors such as mood swings and fatigue.


Smart systems are now offering accurate X-ray readings and personalized medicine. Personal healthcare assistants are now taking up the role of life coaches and acting as a reminder on the specific times that you are supposed to swallow your medicine, eat a healthier diet or engage in physical exercise. Smart robots that have been incorporated into machine learning and artificial intelligence capabilities can now perform minor surgeries without the need of having a surgeon.


Factory IoT data can be analyzed using artificial intelligence capable system as it flows from equipment that has been connected to predict expected demand and load by making use of recurrent networks and a specific deep learning network-enabled robotics which are usually used alongside sequence data. Such systems can also monitor employee input and efficiency in the factory without the need of a human supervisor. These systems can analyze data collected on employee performance and come up with ways that human resource efficiency can be improved for maximum output.


AI had led to the development of game surveillance systems which inform linesmen and referees in soccer whenever a goal was scored when the player was offside. Other AI-enabled systems can identify the amount of time that a certain team has had the ball which is critical in determining game possession, shots on target and foul play without any form of human input. Such systems also help coaches with tips on how to best organize their players for maximum efficiency including incentives on how best to optimize field positions and playing strategy.

The Future of machine learning and Artificial intelligence

Although artificial intelligence is still in its infant stages of development, it has had a significant impact on how most industries and business enterprises conduct their operations in the 21st century. Tech giants such as Amazon, Microsoft, and Google have amassed great talent in AI systems and an impressive computer arrays to boost their core strategy of targeting advertisements or anticipating the consumer’s next item on the purchase list. Consumers can also have the expectations to be bombarded with services, robotics, and devices that have features that are powered by artificial intelligence. Companies that will embrace AI are also set to have the edge over their competitors. such systems will also be used by the government such as in criminal investigations and service delivery to its citizens.