Artificial intelligence and machine learning are the buzzwords in the industry these days. However, they are often used interchangeably, so let us understand what AI and ML are and the difference between them.
Machine Learning refers to the ability of machines to learn from the patterns in data and predict for future without human intervention.
On the other hand, Artificial Intelligence refers to the ability of machines to solve problems and take actions as humans will do.
The below picture explains the universe of AI, of which ML is a part that has Deep learning as another part.
AI is not new. It was first coined by American Computer scientist John McCarthy at the Dartmouth Conference in 1956 and continues to evolve.
Some of the Goals of AI
- Mimic Humans: Solving complex problems using solutions with incomplete information and trying to mimic the human mind for prediction
- Optimization: Maximization of goals based on available choices
Let us looks at some of the applications of AI
- Speech Recognition: We have seen Amazon Alexa, which can understand human language convert it into commands, do the search and give you the results. If you compare it to a human, it is trying to mimic human action with a faster response
- Route Optimization: We use google maps in our daily lives going from one place to Google looking at all the routes possible and showing the best way with minimum time. It does look at the actual time traffic as well to show the results.
- Chatbots: Nowadays, all websites have chatbots installed on them. The idea of a chatbot is to respond to user queries with minimal human intervention. Chatbots can respond to user queries which ideally would have taken numerous resources in terms of time and people. With new techniques like Natural Language Processing, machines can also react to advanced queries, which involves looking at user historical queries and profiles before answering. For example, Swiggy has a chatbot, which is programmed basis the historical chat data of customers with their
- Image Recognition: Using Machine learning algorithms to read and comprehend the images, there are a lot of use cases where Image Processing can be applied. Various applications are already used, from images for unlocking smartphones to reading MRIs automatically to detect anomalies. However, this area is still evolving, and thus Computer vision engineering is one of the most highly paid jobs in the world. Some of the evolving areas are looking at CCTV videos and understanding consumer behaviour, fully automated Point of sale stores without human intervention,
- Language Translation: Most people would have used Google Translate for language translation which in turn uses Natural Language Processing for this
- Autonomous Cars: Autonomous cars are the future, and they are based on Artificial The need for autonomous cars has increased due to the pandemic as it cuts out dependency on the driver for going from one place to another.
All the above applications have debated whether AI will replace humans and leave no jobs. However, the opposition argues that AI will replace the jobs where people are not adding much value, and there would be many more new jobs created where human intelligence would be required. In the end, humans would be needed to make advancements in the field of AI.
~ Kapil Mahajan, Data Science Leader
Emeritus offers a range of courses in AI, Machine Learning, and Data Science that are designed in collaboration with top universities. You can take a look at the programs we offer or schedule a call to speak to one of our program advisors for more details.