ARTIFICIAL INTELLIGENCE: A CONCEPTUAL CONTOUR

This article has been written by “Meghna Jalali” from “Ansal University”

 INTRODUCTION:

Technology has revolutionized our world and our lives. Today we see plenty of labour is appropriated by machines, software and various automatic processes. During this technological advancement era, we discover AI has made a special place of all technological advancement. AI is claimed to be an area of computing that designs and build machines that act intelligently. This technology helped humans to undertake a variety of simple to complex tasks easily and efficiently. Therefore, the use of AI systems in our lifestyle made our lives better. In recent years, AI applications are utilized in many sectors to urge efficient and faster results. AI technology is often seen in various sectors like finance, retail, transportation, health care etc. actually there’s rapid growth in technology and development and it’s expected that there will be more uses of AI in future. Recently tech giants started investing more in AI technologies, so they incorporated AI into their products and processes. It’s predicted that AI goes to transform our lives and our future generations.

WHAT IS ARTIFICIAL INTELLIGENCE?

Artificial intelligence could also be a replacement technical discipline that researches and develops theories, methods, technologies, and application systems for simulating the extension and expansion of human intelligence.

Our use of AI research is to hope that machines can perform some complex tasks that require intelligent humans to end. That is, we hope that the machine can replace us to unravel some complicated tasks. During this process, he is not a repetitive mechanical activity, but some that require human wisdom to participate in it.

IN ARTIFICIAL INTELLIGENCE WE HAVE TWO ASPECTS:

1. MACHINE LEARNING
2. DEEP LEARNING

• Machine Learning: First of all, machine learning could also be a core concept in AI. All folks getto learn, and our human knowledge transfer is additionally administered through such methods of learning. We learn the knowledge of our ancestors, then create new knowledge by inference. We also hope that the machine has such ability: By learning the previous information, the machine is more like having intelligence and should react accordingly for brand fresh input within the longer term. This is often called machine learning.
• Deep Learning: once we mention AI, we often hear concepts like machine learning and deep learning. In fact, they’re an inclusive relationship, and AI includes machine learning and deep learning, and a specific kind of learning in machine learning is known as deep learning. It mainly supported algorithms of neural networks. At this, deep learning has made great progress in fields of image recognition, speech recognition, tongue processing, audio recognition, social network filtering, MT, medical image analysis, and parlour game programs.

IN ARTIFICIAL INTELLIGENCE WE HAVE TWO DIFFERENT FORMS:

1. WEAK AI
2. STRONG AI

• What weak AI is saying is that the machine isn’t intelligent. The key’s that it cannot have an autonomous consciousness. It can only have corresponding intelligence during a selected field, which is analogous to a very advanced, a kind of bionics. Only in one aspect, like watching, listening, and speaking, it appears to be intelligent, but it doesn’t like humans who have complete consciousness.
• Strong AI means the machines can appear conscious and reach or even surpass human intelligence. This is often not just a field of computing, and it involves many aspects like psychology, philosophy, and so on. It belongs to a kind of intelligence created by people, and should even be called life.

DIFFERENCE BETWEEN STRONG ARTIFICIAL INTELLIGENCE AND WEEK ARTIFICIAL INTELLIGENCE:

So the biggest difference between weak AI and powerful AI is what intelligence level this machine can reach, and whether the machine has its own consciousness. This is often the foremost essential difference between these two kinds of AI. Don’t be afraid our world is getting to be conquered by machines like Sky net or something else first. At this, the range of AI we are studying remains within the range of weak AI.

NEURAL NETWORKS:

When it involves AI, we’ve to mention a documented algorithm in AI, called neural networks. Then the neural network is equivalent because the neural transmission of the human brain, from one input unit to subsequent input unit to urge a result. This is often the principle of a simple neural network, which is to simulate the transmission of knowledge from nerves within the human brain. It transfers information from one neuron to a special then passes down.

By law Professor Frank Pasquale’s book the recorder Society:

The key Algorithms That Control Money and knowledge, the term refers to the perceived inscrutability of the processes that end within the digital outputs that users can see. The data that are exchanged once we enter a search term; make online decisions about transactions, employment, housing, and education; or use AI-assisted software programs are framed and filtered by a complicated algorithm. Yet such algorithms are often trade secrets, closed from public scrutiny. And albeit the overall public could review them, the character of machine-learning techniques can obviate the usefulness of review because the program is teaching itself.