Artificial Intelligence (AI)
Artificial Intelligence (AI) is taking root in our everyday lives. We’re still a few years away from having robots at our beck and call, but AI has already had a profound impact in more subtle ways.
In 1950 Alan Turing, British WWII coder, is one of the first people to come up with the idea of machines that think. He even created the Turing test, which is still used today, as a benchmark to determine a machine’s ability to “think” like a human.
Artificial intelligence is a branch of computer science that aims to create intelligent machines. It has become an essential part of the technology industry. Instead of writing millions of lines of code to anticipate every situation, these new applications ingest vast amounts of data, recognize patterns, and “learn” from them, much as the human brain does.
The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize or learn from past experience.
Artificial intelligence can be understood as a set of tools and programs that makes software “smarter” in a way an outside observer thinks the output is generated by a human.
In the most simplistic terms, AI leverages self-learning systems by using multiple tools like data mining, pattern recognition and natural language processing. It operates similar to how a normal human brain functions during regular tasks like common-sense reasoning, forming an opinion or social behavior.
AI is divided into 3 stages :
First Stage : Artificial Narrow Intelligence (ANI)
Intelligence restricted to only one functional area.
Second Stage : Artificial General Intelligence (AGI)
It covers more than one field like power of reasoning, problem solving and abstract thinking.
Third Stage : Artificial Super Intelligence (ASI)
AI surpasses human intelligence across all fields.
Examples of AI technology :
Robotic Process Automation : Robots can be programmed to perform high-volume, repeatable tasks normally performed by humans.
Machine Vision : Machine vision captures and analyzes visual information using a camera. They can be programmed to see through walls.
Virtual Personal Assistants : There are some digital apps such as google map which can answer your question as per your requests. Eg: Where’s the nearest restaurant?
Video Games : The system will counteract your moves in certain games which is also an AI.
Smart Cars : Self-driving cars are moving closer and closer to reality; Google’s self-driving car project and Tesla’s “autopilot” feature are two examples that have been in the news lately.
Fraud Detection : The system will be able to spot a fraudulent transaction based on the signs and indications that it learned through the training exercise.
AI Applications :
In Health care : AI is changing health-care now and will in the future. AI is useful in Managing Medical Records, Digital Consultation, Health-care System Analysis and monitor patient’s condition and follow up with treatments.
In Business : In the business world, artificial intelligence is enabling businesses to work smarter and faster, doing more with significantly less. Companies can now use machines algorithms to identify trends and insights and make faster decisions which helps them to be competitive in real-time.
In Education : The field of artificial intelligence (AI) is having a positive impact on educational applications. AI can assess students and adapt to their needs, helping them work at their own pace. AI could change where and how students learn.
In finance : By analyzing various data points, machine learning algorithms can detect fraudulent transactions that would go unnoticed by human analysts. They are also being used as Chatbots which conducts a conversation via auditory or textual methods regarding the financial or banking queries.