What Is The Difference Between Artificial Intelligence (AI) And Machine Learning

What Is The Difference Between Artificial Intelligence (AI) & Machine Learning

In this article we are going to discuss about what is artificial intelligence?. We will also discuss what is machine learning?. Then we progress further to understand what is the difference between artificial intelligence and machine learning. So lets start with artificial intelligence.

What is Artificial Intelligence(AI)?

Let me elaborate about Artificial Intelligence. AI Stands for Artificial Intelligence. In general Intelligence in humans are well understand by their visual perception, speech recognition, decision making and translation between language. Incorporating all this quality in computer systems to perform tasks that normally require human intelligence can be referred as Artificial Intelligence. System have these human intelligence is treated as Artificial humans.

Based on above general concepts we can say Artificial Intelligence is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans.

Majorly AI contributes the areas like Learning, Problem Solving, and Speech Recognition and Robotics.

So machines having human intelligence are referred as AI based machines. Knowledge Engineering is a core part of AI research. AI needs to have access to objects, categories, properties and should establish relationships between all of them to implement knowledge engineering.

7 Types of Artificial Intelligence

AI is at its peak in present and gained huge boost in past couple of years. Now a days AI systems have capability of managing huge amount of data and useful in simplification of complicated calculations really fast.

AI systems have surpassed the human performance in solving many different tasks and IT industry is having more concern how it is going to disrupt IT employment in future as well.

Lots of talks regarding it going on this huge impact in coming future. Many recommendations are there to keep AI impact minimum .Let us leave that as of now and see different categories of AI.

1. Reactive Machines AI

This is basic type of AI that are quite reactive in nature and they are not capable of using previous experience to advise present decisions. Example: IBM Deep Blue

2. Limited Memory AI

This is mostly used in automobile sector. For instance self-driving cars. They detect movement of vehicles around them constantly. Lane marks are static data. Traffic lights and any curves in the road will be added to the AI machine.

3. Mind Theory AI

This is very advanced technology. Mind theory represents understanding of human and any live thing in world which have emotions and who can change their behavior as per situation. Research shows that Robots development under progress with capability which can trach eye and face movements and decide according to the different scenario.

4. Self Aware AI

This is supplementary of Mind Theory AI. It will achieve perfection to behave like humans with emotions and reactions. This is going to make huge impact on society. 

5.Artificial Narrow Intelligence – ANI

ANI is common technology found in many areas of our routine. For example Cortana & Siri that helps users to respond to their problems on request in smartphones. Most of the advanced smartphone are coming enabled with AI. It is considered to be a basic concept of AI. This type of Intelligence is achieved by humanity. These are also referred as Weak AI.

• Speech Recognition
• Voice Assistants [ Cortana, Alexa ]

6.Artificial General Intelligence – AGI

As per name it is general purpose intelligence. Smartness or efficiency could be applied for different tasks and learn and improve itself. It is intelligent same as the human brain. Opposite to ANI, it can learn and improve itself to perform various tasks.

Best example is AlphaGo plays only Go but its intelligence could be applied in various other fields.

7.Artificial Superhuman Intelligence – ASI

ASI is more powerful and sophisticated than a human’s intelligence even though human’s intelligence is considered to be one of the most capable and developmental.

What is Machine Learning (ML)?

Machine Learning is core part of Artificial Intelligence. Robotics is also major field related to AI. Robots require intelligence like humans to handle tasks such as object manipulation and navigation with sub-problems of localization, motion planning and mapping.

Machine learning is major application of AI that provides systems the capability to automatically learn and improve from experience without being explicitly programmed. Machine learning provide the way to develop programs which can access data and use it for intelligent decision making.

Learning begins with data analysis and makes better decisions in the future based on the examples that we provide. Aim of data analysis to allow the computers becomes more intelligent and can take action based on results of data analysis in form of examples or cases without human intervention.

The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly.

You can learn Python which is really helpful for Machine learning and bigdata technology as well.

Types of Machine Learning Algorithms

Machine Learning algorithms can be categorized into four main category .It is mentioned below.

1. Supervised Machine Learning Algorithms

2. Un-supervised Machine Learning Algorithms

3. Semi-supervised Machine Learning Algorithms

4. Reinforcement Machine Learning Algorithms 

Difference Between AI and ML

Artificial Intelligence and Machine Learning is not very new concept. It is already in practice now at many places and not it have central focus as business industry started focusing on more on ROI from last one decade.

I do remember in early 2K AI and Machine were there in all IT courses in India like Master of Computer Application courses from various Universities either Government or Individual Universities.

Artificial Intelligence is the core area of it and machine learning is one of the technology .So in general you can say “ML is subset of AI”.

Impact of Artificial Intelligence On Employment

AI is latest technology so it will have great opportunity for those who learn and implement while whole AI effort leads to reduction of many jobs of repititive in nature which can be automated.

Dr. Vivek Bindra have clearly explained about the impact of AI on Employment efficiently. It may help you to understand and have great sense about impact of artificial intelligence on employment.

AI is future technology and going to grasp whole market in years to come. We take this as excellent career aspects. There is huge demand of AI professionals .Market is currently not having enough quality AI professionals .

Now a days Engineering Colleges in India also focusing to produce more and more AI professionals seeing market demand and trying to fulfill market requirements.

According to market reports while there will be huge cut of jobs with introductions of AI implementations but positive is it is also going to generate approximately 2.5 million of jobs by 2020.Trends shows another 10-15 years will be era of AI.

Artificial Intelligence Related Jobs

Below are few job category related to AI fields are available in high demands you can focus to achieve.

1. Machine Learning Engineer

2. Data Scientist

3. Research Scientist

4. R&D Engineer

5. Business Intelligence Developer

6. Computer Vision Engineer

7. Big Data Engineer/Architect

Major IT Companies Hiring For AI Related Jobs

Below are the top major IT firms globally is hiring professionals from AI, Machine Learning, Bigdata etc.

Amazon|NVIDIA|Microsoft|IBM|Accenture|Facebook|Intel|Samsung|Lenovo|Adobe|Uber|Rakuten Marketing| Wells Fargo and many more .

List is endless as almost all companies are recruiting professionals from this area as said above this is going to be future pattern of hiring next 10-15 years.

Though lot of ways and resources are available to learn online and offline. Below are few resources links provided to explore if interested to make successful career in AI, Data Science are.

India is also not behind AI run and good progress in AI can be easily seen. Most of the states focusing on STEM graduates who can later progress their career in these trending technologies.

Automation is the key to derive using all these technologies .Industry is looking for professionals with capabilities in trending technologies. Businesses focusing cost reduction with improved and quality deliveries is the key objectives. Area where advance and great human intelligence needed will not be expected to be effected with these technologies.

Especially either you are experienced professional or just entering in IT industry you need to focus on updating your skills in these trending technologies.

So go ahead and pick your suitable area and get trained or certified in one of these technology according to your current profile and explore the opportunity and make most of your career. Do not wait to make yourself outdated from current industry trends.

I can refer to some related technologies which you can utilize to keep yourself updated. Explore those and keep your career on advance track and get handsomely paid as pay is good in latest technologies only due to no or less availability of experts in latest technologies. 

Conclusion

That`s it about what is artificial intelligence? or you can say what is AI?  and what is machine learning (ML)? and what is the difference between artificial intelligence (AI) and machine learning in brief.

This will be helpful to give you basic idea about these top trending in technology with aim to ease life style and error free delivery. Even it have impact on old job but it is evolving industry and have lot of opportunities to explore these technologies.

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Reference To Latest Technology Resources