The Future of Artificial Intelligence
- 1 What is Artificial Intelligence? What is the Future of Artificial Intelligence?
- 2 History of Artificial Intelligence.
- 3 Top uses and applications Artificial Intelligence.
- 4 Some of the top programming languages of Artificial Intelligence.
- 5 Artificial Intelligence and Machine Learning
- 6 Why Companies are using Artificial Intelligence to grow their business
- 7 Let us understand how Artificial Intelligence Works
What is Artificial Intelligence? What is the Future of Artificial Intelligence?
Let us Discuss, Artificial Intelligence in brief Today. So, AI is a Technology which is to put intelligence like a human being in machines that are programmed like human beings and copy the actions like Human Beings. We will also see how it works and what is The Future of Artificial Intelligence?
History of Artificial Intelligence.
Before knowing The Future of Artificial Intelligence we must discuss the history. The idea that machines can think is too old and can be traced for a long period of time. The Turing Test is also known as the imitation game and is done by Alan Turing in 1950. In this test, A machine is tested that how much a machine is capable of exhibiting an Intelligent Behavior like Human Being.
Then in 1955, Christopher Stacey programmed the first-ever Computer program that can play chess. Then in 1956, John McCarthy who was Assistant Professor at Dartmouth College proposed the term Artificial intelligence for the technology which programs machines that can show intelligence like Human Beings.
In 1961, the First chatbot was invented named Eliza now there are a lot of high efficient chatbots like Alexa and Siri are available and they are nothing else like an extended version of Eliza.
Top uses and applications Artificial Intelligence.
AI is getting used a lot in the modern world and there are a lot of applications in the modern era that are designed using Artificial intelligence. Some Examples are ChatBots, Robots, etc. and some of the top industries that use AI are eCommerce, Human Resource Management, Intelligent Cybersecurity, Logistics and Supply Chain, Sports, Healthcare, etc.
Some of the top programming languages of Artificial Intelligence.
Some of the top programming languages used for artificial languages. Some examples are AIML, Python, C++, Java, etc. These are some of the important languages used for developing high-end AI software and machines.
Artificial Intelligence and Machine Learning
Artificial Intelligence and Machine Learning are often used as synonyms and also as a trend to make marketing advancements. Machine Learning is mentioned as ML and could be a branch of computing (AI). it’s defined by one of all the most effective Computer Scientists as “Machine learning is that the study of computer algorithms that allow computer programs to automatically improve through experience.”
Why Companies are using Artificial Intelligence to grow their business
Let us discuss with an example, How companies are using Artificial Intelligence to grow their business? You must have noticed that whenever you search for a washing machine on Amazon, Flipkart, or any shopping site and for any reason you did not make a purchase. The very next day when you browse something on Google, Facebook, Youtube, etc. you will see ads related to the washing machine. That’s the simple understanding that how companies use Artificial Intelligence for their marketing campaign.
Let us understand how Artificial Intelligence Works
Machine Learning is a class of methods to automatically creating DATA. we can call these machine learning algorithms engines of machine learning to create a model of DATA sets. There are various kinds of machine Learning Algorithms according to the problem it is needed to solve, the type of resources available, or the data type.
There are Broadly 3 types of Machine Learning Algorithms,
- Supervised Learning: This algorithm consists of a target/outcome variable (or dependent variable) which is to be predicted from a given set of predictors (independent variables). Using the same set of variables, the computer scientists generate a function that maps inputs to desired outputs. This process continues until the algorithm achieves the desired level of perfection on the training data. Examples of Supervised Learning: Regression, Decision Tree, Random Forest, KNN, Logistic Regression, etc.
- Unsupervised Learning: In this algorithm, we do not have any target or outcome variable to guess. It is used for clustering populations in different groups, which is widely used for segmenting customers in different groups for specific interventions. Examples of Unsupervised Learning: Apriori algorithm, K-means.
- Reinforcement Learning: Using this algorithm, the machine is prepared to make a particular decision. In this method, the machine is exposed to an environment where the machine trains itself regularly using trial and error. This machine learns from previous experience and tries to cover the best possible knowledge to make accurate business decisions. Example of Reinforcement Learning: Markov Decision Process
Evolution of Artificial Intelligence
The Beginning of evolution if started in the early 1930s. From the time every decade brings new advancements in this technology. Every new invention changes it from unattainable fantasy to a reality for future generations. It all started from the Turing test by Alan Turing that we have discussed earlier also in the above paragraphs.
Then the next phase was the invention of Eliza developed by Joseph Weizenbaum in 1966. The next chatbot was developed in 1990 called Alice. These were some of the inventions of Artificial Intelligence in past decades. Now there are a lot of advancements are done in Artificial Intelligence which is being used by a lot of businesses to grow their productivity, target the right leads for their marketing campaigns, hiring, and a lot of productive processes. So we can assume that Artificial Intelligence is going to develop a lot in coming times following their past decade’s growth and it is going to increase a lot of advancements in technology.