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    Artificial intelligence machine
    Artificial intelligence machine

    What is Artificial Intelligence? With Examples & Execution

     

    Table of Contents:

    1. Introduction
    2. What is Artificial Intelligence?
    3. Goals of Artificial Intelligence
    4. Types of Artificial Intelligence
    5. Roles & responsibilities of an AI engineer
    6. What is artificial intelligence with examples?
    7. How to launch yourself as an AI engineer
    8. Conclusion

     

    The hype surrounding this proactive technology is real. It was coined in 1956 and, ever since then, has created a digital revolution. Artificial intelligence (AI) has evolved as a catchall term for performing manifold complicated tasks. The history goes back to the 1950s, when artificial intelligence was the basis of problem-solving. In 1906, the US Department of Defence mimicked human reasoning to train computers. Long before Alexa and Siri established their existence in households, the Defence Advanced Research Projects Agency (DARPA) created intelligent personal assistants. 

    An initiative for early work paved the path to complete automation, which certainly can boost human abilities. The futuristic technology has successfully made human lives easy. They are programmed to reduce manual intervention, along with enhancing efficiencies. And therefore, it will be only right to conclude that AI has touched every facet of our life. 

    Some everyday influences of Artificial Intelligence:

    • Facebook
    • E-commerce websites
    • Instagram
    • Video games
    • Music streaming platforms
    • Twitter
    • Banking
    • Travel
    • Smart homes

    Some important highlights include:

    • The first artificial intelligence program, named ‘Logic Theorist’ was created in 1955.
    • Japan built the first intelligent humanoid robot in 1972 and named it WABOT-1.
    • Artificial Intelligence entered homes in 2002 in the form of a vacuum cleaner.
    • In 2012, Google launched an android app feature called ‘Google now’.  

    The future of artificial intelligence is heartening. It has almost become indispensable to know the ins and outs of AI. What is artificial intelligence with examples? Types, prospects and applications. We are here to justify its significance to the modern economy.

    What is artificial intelligence?

    While plentiful definitions of artificial intelligence floating over many decades, Atria University is here with a simple and crystal clear overview. In a snippet, Artificial intelligence is about fashioning intelligent machines and reducing human effort. A computer-controlled robot performs complex tasks on behalf of human beings. Artificial intelligence is incredibly powerful for the most obvious reason a computer behaves like a human at a faster speed. However, AI does not intend to replace humans. It aims to enhance human abilities by leveraging various techniques significantly. By abetting them, machines are trained to comprehend, plan and act at the level of human intelligence. 

    Artificial intelligence spreads across a group of state-of-the-art technologies such as computer vision, machine learning, natural language processing and natural language understanding.

    Mobile application

    Goals of Artificial Intelligence:

    The different types of artificial intelligence are tailored to achieve certain goals. Without any second thoughts, the first goal is to incorporate human intelligence into machines.

    1. Logical problem solving

    AI is about principally solving problems to come up to a logical decision. With the help of multiple algorithms, AI can deal with incomplete information or handle uncertainties. A complex task can positively be simplified with human reasoning and logical deductions.

    2. Keep up the learning.

    AI fundamentally allows continuous learning. An ongoing learning process from past experiences and observations helps AI amplify accuracy. The module is fashioned to process data collection and predict outcomes accordingly. AI systems learn independently with minimum human intervention in an automated learning process. 

    3. Encourage creativity

    A subfield of artificial intelligence encourages creativity that aids humans in accomplishing a task with ease. AI collects data from vast volumes efficiently, considers the alternatives and evolves into creative paths. The platform of artificial intelligence can bolster creativity and develop avant-garde ideas. The technology ensures to boost the overall creative process.

    4. Embolden social intelligence

    The interdisciplinary field recognises, interprets, processes and stimulates human emotions and expressions. Effective computing abets a system to detect voice tones and read facial expressions and body language. AI systems are built to interact at human levels. Therefore, the goal of artificial intelligence will always be to fortify the social intelligence of the systems.

    5. Expedite planning

    Artificial intelligence is about facilitating planning right to achieve goals. The planning process involves setting goals and accomplishing them through data analysis, authoritative predictions, and optimisation. An AI system must be able to envision the future and derive maximum utility. AI-driven planning is significant across cognitive assistants, robotics, autonomous systems and cybersecurity.

    6. Knowledge representation.

    AI-powered research encompasses knowledge representation. Most machine-oriented problems require extensive knowledge and representation of it. The AI characterisation involves categories, relationships, situations, objects, events and more. Knowledge representation is curated based on real-world information to fathom and resolve complex real-life problems.

    7. Developing harmony between AI and humans

    It wouldn’t be wrong to label it as one of the most critical goals of artificial intelligence. AI engineers facilitate humans to work together and elevate their capabilities. Having the right synergy between the two is pivotal. An AI operation cannot hinge on one.

    Types of Artificial Intelligence

    Artificial intelligence can be broadly classified into two categories.

    1. Based on capabilities

    • Narrow Artificial Intelligence

    As hinted by the name, narrow AI works on performing a specific task and therefore comes with a limited range of capability. The human-like intelligence is trained only for a predefined piece of work like Apple’s Siri, image recognition, e-commerce websites and Netflix recommendations.  As a consequence, narrow artificial intelligence comes with a string of constraints and parameters.

    • General Artificial Intelligence

    Popularly known as general AI or AGI, the technology works with human-like efficiency by comprehending and performing any intellectual task. AGI develops machines with the acquired skill and knowledge, enhancing cognitive capabilities.

    • Super Artificial Intelligence

    Super AI is the only type of artificial intelligence which can outperform by surpassing human intelligence. The development of ASI will mark a summit in AI research with powerful technologies, reasoning and critical thinking. Super artificial intelligence certainly represents the future.

    2. Based on functionalities

    • Reactive Machines

    Reactive machines are the basics of artificial intelligence. It is incorporated with limited capacity and, therefore, cannot store the past for the future. It depends on the present data to carry out the best possible action. The mechanisation responds to current scenarios but cannot learn from the past or draw conclusions. 

    • Theory Of Mind

    The theory of mind mimics the human brain and thereby interacts and reacts. This type of AI comprehends human emotions and minds and interacts exactly like the human psyche. The futuristic technology is not developed and is in contention. It is still at a nascent and innovative stage.

    • Limited Memory

    Limited memory AI is a branch of a reactive machine with some capabilities of comprehending historic data and storing it. However, the word ‘limited’ defines a short-lived memory of relevant information. 

    • Self-aware AI

    Self-aware artificial intelligence outwins the theory of mind with super-intelligent machines. It intricately deals with emotions, consciousness, sentiments and beliefs. In the true sense, self-aware AI is a reflection of human intelligence. The technology is self-explanatory. To your surprise, it can outperform the human mind.

    Roles & Responsibilities of an AI engineer

    AI engineers are a crucial part of organisations that work on artificial intelligence. They are in charge of various roles and responsibilities, which aid in accurate implementation.

    • Build an AI model from scratch and take charge of analysis and implementation.
    • Construct and manage the production framework.
    • Gauge and improvise the performance of AI applications.
    • To create innovative technical solutions.
    • Conduct mathematical analysis and elucidate results.
    • Play a pivotal role in an organisation’s decision-making process.
    • Automate the foundation of artificial intelligence.
    • The main role of an artificial intelligence engineer is to construct a machine capable of reasoning like the human brain.
    • An AI engineer is responsible for developing algorithms which are accurate with the predictions.
    • To build a computer program based on a human brain and accomplish complex tasks.
    • To foresee the trends and patterns. 

    Artificial intelligence machine

    What is artificial intelligence with examples?

    No prizes for guessing AI’s potential impact on our future. We have penned down the nitty-gritty of what AI is about; let’s now look into the powerful examples.

    • Self-driven cars
    • Flying drones
    • Manufacturing robots
    • Social media policing
    • Siri
    • Healthcare management
    • Netflix
    • Maps and navigation
    • E-payments
    • Chatbots
    • Digital assistants
    • Autocorrect
    • Facial recognition
    • Natural language processing (NLP) tools
    • Virtual travel agent

    How to launch yourself as an AI engineer?

    Without following the two-step procedure, obtaining even an entry-level job is unthinkable.

    1. Take a degree course.

    There’s no other way to begin. Learning all the technical and non-technical skills is a must for AI engineers. Atria University offers a major in bleeding edge technology to help build a product for tomorrow’s more-than-human world. We provide intricate teaching in artificial intelligence subjects, which is essential for AI learning models. Leverage the best existing technologies and envision newer ones with our advanced course.

    2. Work experience.

    Add the artificial intelligence course subjects to your credentials and get going. Enhance your learning by indulging briefly in work experience. Once you have mastered the modern skills while pursuing a major in Interactive Technologies, you are ready to flourish in an emerging workplace. 

    One Last Thought:

    Today, AI is exponentially used in every sector- healthcare, manufacturing, banking, retail and more. The cutting-edge technology is driven immensely because of its competitive advantage, computing capability and a large volume of data generation.

    So, would it be appropriate to conclude AI is the present and future? 

    Fact-finding: 

    • AI to drive 95% of customer interactions by 2025. 
    • The AI market is forecasted to have a 190 billion dollar revenue by 2025.
    • AI is expected to impact the future of work and life immensely.

    There has been no better time to establish a career in this lucrative field. Earn yourself a degree with Atria University and hone your skills. Most importantly, you will have the opportunity to position yourself as a transformative leader.

    Atria Admissions Team

    August 30, 2022

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