Artificial Intelligence

  • It is composed of two words Artificial and Intelligence,
    where Artificial defines “man-made” and intelligence defines “thinking power”, hence AI means “a man-made thinking power”. So, we can define AI as:
  • “It is a branch of computer science by which we can create intelligent machines which can behave like a human, think like humans, and able to make decisions.“
  • Artificial Intelligence such as learning, reasoning, and solving exists when a machine can have human-based skills problems

Why Artificial Intelligence?
Before we start exploring the Artificial Intelligence, we should know what is the importance of AI and why should we learn it?
Following are some main reasons to learn about AI:

  • With the help of AI, you can create such software or devices which can solve real-world problems very easily and with accuracy such as health issues, marketing, traffic issues, etc.
  • With the help of AI, you can create your personal virtual Assistant, such as Cortana, Google Assistant, Siri, etc.
  • With the help of AI, you can build such Robots that can work in an environment where survival of humans can be at risk.
  • AI opens a path for other new technologies, new devices, and new opportunities.

What Comprises of Artificial Intelligence?

With all the excitement and hype about AI that’s “just around the corner”—self-driving cars, instant machine translation, etc.—it can be difficult to see how AI is affecting the lives of regular people from moment to moment. What are examples of Artificial Intelligence that you’re already using—right now?

At ARMIET, the AI Research and Advisory, we work with ambitious enterprise leaders to develop powerful AI strategies and find high-ROI AI projects. While this often implies examining the AI initiatives of their peers, new AI use-cases and application ideas can come from consumer technologies as well – and that’s the focus of this article.

In the process of navigating to these words on your screen, you almost certainly used AI. You’ve also likely used AI on your way to work, communicating online with friends, searching on the web, and making online purchases.
We distinguish between AI and machine learning (ML) throughout this article when appropriate. At ARMIET, we’ve developed concrete definitions of both Artificial Intelligence and machine learning based on a panel of expert feedback. To simplify the discussion, think of AI as the broader goal of autonomous machine intelligence, and machine learning as the specific scientific methods currently in vogue for building AI. All machine learning is AI, but not all AI is machine learning
Our enumerated examples of AI are divided into Work & School and Home applications, though there’s plenty of room for overlap. Each example is accompanied with a “glimpse into the future” that illustrates how AI will continue to transform our daily lives in the near future.

Examples of Artificial Intelligence: Work & School
Reducing commute times is no simple problem to solve. A single trip may involve multiple modes of transportation (i.e. driving to a train station, riding the train to the optimal stop, and then walking or using a ride-share service from that stop to the final destination), not to mention the expected and the unexpected: construction; accidents; road or track maintenance; and weather conditions can constrict traffic flow with little to no notice. Furthermore, long-term trends may not match historical data, depending on the changes in population count and demographics, local economics, and zoning policies. Here’s how AI is already helping to tackle the complexities of transportation.
1 – Google’s AI-Powered Predictions
2 – Ridesharing Apps Like Uber and Ola
3 — Commercial Flights Use an AI Autopilot

Glimpse into the future

1 – Spam Filters
2 – Smart Email Categorization


Glimpse into the future


Grading and Assessment:-
1 –Plagiarism Checkers
2 –Robo-readers

Glimpse into the future
There are many promising avenues for AI to improve education in the future. One-size-fits-all classes may be replaced by personalized, adaptive learning that is tailored to each student’s individual strengths and weaknesses. ML may also be used to identify at-risk students early on so that schools can focus extra resources on those students and decrease dropout rates.

Banking/Personal Finance:-
1 – Mobile Check Deposits
2 – Fraud Prevention
3 – Credit Decisions

Examples of Artificial Intelligence: Home
Social Networking:-
1 – Facebook
2 – Pinterest
3 – Instagram
4 – Snapchat

Online Shopping:-
1 –Search
2 –Recommendations
3 – (More) Fraud Protection

Mobile Use:-
1 –Voice-to-Text
2 – Smart Personal Assistants

Application of AI