As the headline of this article shouts out, Artificial Intelligence (AI) is the future technology. Moreover, it would not be wrong to say that you will find AI’s application in almost all walks of life in the coming years. And they may be Retail, Marketing, Manufacturing, Advertising, Textile, Media, Entertainment, Software, telecommunications, etc. AI paired with the Data Science can be implemented in almost all the field to improve the decisions, operations & management of a business. Basically, Artificial Intelligence is the science of making a computer/robot capable of thinking like humans & capable of making decisions. And some of the famous examples of AI are Chatbots, Self-Driving Cars, Smart Assistants like Cortana, Alexa, Siri, etc. And most of the Artificial Intelligence course provides the complete skillset required to start a career in AI. So if you are interested in knowing about the AI, grab a drink & read on. This article is for you!
What is Artificial Intelligence?
Basically, AI is the science of enhancing the computer's abilities or a robot to think like the human brain. This is particularly achieved when the software studies the human brain by analyzing the patterns & cognitive process. And by this process, the computer/robot begins imitating the human brain & finally it becomes capable of making decisions & performing tasks. Furthermore, the AI system is expected to do the following:
- Knowledge Demonstration
- Logical Reasoning
- Navigating (e.g. Self-driving cars)
- Natural Language Processing
Basically, In AI, the machines learn from the recorded data & actions. And the device utilizes this information to make corrections & thus avoids the reoccurrence of the problem. Finally, after making necessary adjustments, the machine is ready for new inputs & to act like a human brain. An AI engineer is expected to design algorithms & programs to enable a device to act like a human with Artificial Intelligence. And most of the Data science courses emphasize this.
Brief History of Artificial Intelligence
Below is the brief history (a timeline) of how AI has evolved over the years in the past six decades.
1956 An American Computer Scientist John McCarthy, along with his teammates, coined the term Artificial Intelligence. And he held a conference on AI called the Dartmouth Conference. John McCarthy was awarded the Turing award for his contributions to Artificial Intelligence.
1969 Shakey, The first general-purpose mobile robot, was developed at the SRI International, earlier called the Artificial Intelligence Center of Stanford Research Institute.
1997 IBM created a Supercomputer named ‘Deep Blue’. And it defeated a world chess champion in a Chess match.
2002 Dyson, a British Technology Company, successfully built the first robotic vacuum.
2005to2021 In these years, we came across Speech recognition (Cortana, Alexa, Siri), Robotic Process Automation (RPA), smart homes, AI Autopilot, Plagiarism checkers, and counting.
Types of Artificial Intelligence Machines
- Purely Reactive Basically, these types of machines specialize in only one kind of task. And these machines have nothing to do with memory or data.
- Limited Memory
Specifically, these machines collect patterns & data. And they have good experience in making decisions & operations. Since they have limited memory space, they are labeled as Limited Memory AI.
- Theory of Mind
These AI machines are expected to understand emotions & thoughts. And they are also likely to interact socially. Basically, the work on this type of machine is going on & they are expected to be out commercially shortly.
These AI machines are also under development. And these are expected to be intelligent & conscious.
Prerequisites to become an AI Engineer.
Basically, you can start with learning Artificial Intelligence with some basics in mathematics & programming. And it would be an added advantage if you have a good understanding of Discrete Mathematics, Statistics, Machine Learning, Database languages like SQL, PostgreSQL & MongoDB. Moreover, if you have an interest or are good at problem-solving, you will love learning AI.
The Skills that an AI Engineer should possess
- Statistics, Linear Algebra & Probability
Basically, the majority of the complex AI algorithms are based on Linear Algebra, Statistics & Probability. Hence an aspiring AI engineer should seek these skills. And some of the algorithms are Gaussian Mixture Models, Linear Discriminant and Naive Bayes.
- Algorithms & Frameworks Artificial Intelligence mainly involves the application of Machine Learning & Deep Learning Algorithms. Hence the professionals should & must know the algorithms & frameworks such as Tensorflow, PyTorch, and Caffe.
- Spark & Big Data Technologies AI Engineers are expected to handle a huge amount of real-time application data. And they need to know Hadoop, Apache Spark, Cassandra & MongoDB.
- Problem Solving & Communication AI engineers should possess good problem-solving skills as it is the crucial skill because, through Artificial Intelligence, you basically aim to solve real-time problems. And having good communication skills makes you a strong team player & a leader.
Popular Applications of Artificial Intelligence
It is the smart virtual assistant developed by Apple Inc. Siri is very famous amongst Apple device users. Basically, Siri answers to your questions suggesting various options that are available on the web.
Alexa is yet another smart virtual assistant developed by Amazon. It is famous worldwide.
Finally, we can conclude that Artificial Intelligence is the thing to look for in the coming years. So far, we have looked into all the significant aspects of AI. Incorporating AI into companies along with Data Science will broadly impact the growth of the organizations. In the end, we like to say that AI is also a lucrative career. So if you are looking to shift or start a career in Artificial Intelligence, you can sign up for reputed online courses like Intellipat.