The World of AI, Wanna Know How It Works, Then This is How It Does…
A transition from the machines working by human assistance to the machines thinking and working on their own.
What is AI?
In simple terms, Artificial intelligence is an area of computer science, but it’s not as straightforward as it sounds; it definitely is a computer system, but it’s a computer system that stimulates human behavior specifically focusing on humans thought process, logical thinking and rational acting. Moreover, it’s about improvising its ability to perform tasks and to be able to deal with unfamiliar scenarios.
AI is programmed with machine learning and deep learning, which are 2 of the known subsets or techniques of artificial intelligence.
Machine learning means self-learning in which it adapts to its environment and performs a task without getting assistance from humans; in clear terms, it’s not being explicitly instructed to undertake a function in a particular type of situation; it just has to automatically learn from its experiences. Nevertheless, you will have to feed the machine a massive amount of data in order for it to utilize the data for working orderly and wisely, but you wouldn’t have to give it instructions to perform every single task. For instance, personal smart assistants such as Siri, google assistant, and social media are driven by machine learning.
Deep learning or deep neural network is a sub-field of machine learning, which in turn means that it is associated with artificial intelligence. This involves the cognitive ability of the machine — replicating a human brain. It basically means training machines to recognize data and data patterns, and to predict analytics. The AI would learn to classify tasks and data through various images, sounds and texts — observation is an essential element here. Some examples of deep learning are face recognition, automated translations and fraud detection.
Okay! Now I’ll expand the topic a little more by telling you about the two categories AI is classified into: Narrow AI(ANI) and Artificial General Intelligence(AGI).
Narrow Artificial Intelligence: It is almost everywhere now a days; you can find it in computers, cars, phones, etc. It specializes in performing a single, specific task; however, it does have some limitations that won’t allow it to work flexibly. Let’s take a look at Alexa: it is a voice assistant which can perform a wide variety of tasks in response to our commands, but only with certain constraints, because it wouldn’t have any answer nor an output each time you interact with it in context of more of a humanly way; or else, even if it would reply, its answer might not meet your expectations.
“Artificial intelligence will reach human levels by around 2029. Follow that out further to, say, 2045, and we will have multiplied the intelligence — the human biological machine intelligence of our civilization — a billion-fold” (Ray Kurzweil).
General Artificial Intelligence: It is an absolute human, but without human anatomy. What I basically meant to say is that it’s a super complex machine and doesn’t necessarily have restrictions while executing a task — it shows human intelligence in it’s performance. For your better understanding, these are types of robots you have very often seen in movies and of course in your imagination where you would have the robots cook some delicious food, do all the household chores and your official work; however, these kinds of things haven’t taken place yet, but for sure a happening of narrow AI to general AI is in process. Advancement in AI will be all over the place in future.
Overall, AI should be able to solve real world problems on its own by bringing all the data, instructions, and techniques, which are are fed to it, into play.
In the current world, what are the fields that you can find AI involved in?
Almost every element of today’s world is driven by artificial intelligence, and that is why everything around you is getting smarter day by day.
In your daily life, you might use your phone, social media, shopping websites, YouTube, Netflix and so on right? Then, you for sure have realized that whenever you look at the screens, you encounter videos, posts, blogs, clothing, etc., that you are specifically interested in. Well, if you have ever wondered why, it’s because AI learns your preferences based on the content from your past browsing history and analyses the patterns and then finds some results similar to them and recommends them to you.
AI in self-driving cars enhances our means of transportation in terms of speed, efficiency and safety; this will also help in maintaining the traffic. Although it is still in progress, it’s going to become very popular soon, because everyone needs an autonomous car that would safely and quickly help them travel long distances such as California to Florida just in 2 hours; this will happen even without the driver having to exhaust after driving, because they are not the ones driving and it’s the AI in the car that’s driving.
In the medical field, AI is currently helping by detecting diseases and infections just by scanning the specific areas of the person; it’s also said that AI plays a role in keeping track of the spread of a disease. Another advancement is that AI could make emergency calls when it recognizes patients being attacked by sudden health issues such as cardiac arrest or may be severe difficulty in breathing.
Even in business, AI helps in analyzing finance, revenue, records, their growth in production, and it could also obviously make predictions on how the business will operate in future. In markets or in online stores, AI could interact with the customers by clarifying their questions and giving them the information needed.
When it comes to recognition, it could be language recognition or face recognition that might pop up in your mind, but besides that AI is used to detect fake news and recognize cyber attacks and fight them as well. It first absorbs the data, then interprets the patterns and classifies it accordingly.
Regardless of current AI advancement, it is still considered weak AI.
Again, machine learning and deep learning are the basis for all the above things to develop today. It’s so fascinating to learn about things like this right? Turning unreality into reality is the goal of all AI engineers and let’s see what will take place in the future according to the predictions.
Future outcomes of AI
Keeping all the risk factors aside, I’m gonna only talk about the effects AI will have on our society and us.
“It is difficult to think of a major industry that AI will not transform. This includes healthcare, education, transportation, retail, communications, and agriculture. There are surprisingly clear paths for AI to make a big difference in all of these industries.”- Andrew Ng
As you can see that AI usage in machines and computers is already becoming ubiquitous, it’s likely to assume that things will get more advanced in further years.
When you hear about AI in future, the first thing that pops up in your mind would be autonomous systems which will probably comprise a system combination of machine learning, cognitive skills, neural network involvement, language processing, etc.
Technically, General AI will be all over the place at this point and this kind of AI will have increased computational power, making the world work faster.
“Machine learning allows us to build software solutions that exceed human understanding and shows us how AI can innervate every industry.”-Steve Jurvetson
For instance, chat bots would be modified in a way that it would understand its customers’ every sense of communication such as sarcasm; and then, it would try to provide them the service and response suitable to their goals, or at least for satisfying them. This, in turn, will benefit the business.
In the society, it’s said that AI will replace human jobs with machines, but it will also introduce new jobs required for dealing with machines and training the machines. AI will empower the existing jobs and innovate new jobs for people; some of the modern jobs like data scientist, app developer and social media director will become prevalent.
Automated machines such as self-driving cars and ships, and robots would be widespread.
AI could empower education by keeping track of an individual student’s progress and detecting any difficulties they have in learning; this could be done through apps, and then would end up helping teachers know whom to help and how to help without missing out anyone.
Besides all these benefits, there are factors like fairness, security, privacy, safety, etc. that AI might have negative effects on.
AI is a super effective force to drive the world into a new phase; however, it could be terribly devastating if things don’t turn out well.
References(Here are some of the sources that I used):
