What Is Artificial Intelligence?

-

Artificial intelligence (AI) refers to computer systems capable of performing complex tasks that historically only humans could do, such as reasoning, making decisions, or solving problems. At a glance, here's what you need to know about artificial intelligence:

  • Today, the term “AI” describes a wide range of technologies that power many of the services and goods we use every day – from apps that recommend TV shows to chatbots that provide customer support in real time.

  • Machine learning is the most common form of artificial intelligence used today.

  • As AI becomes more interwoven into our modern world, knowing how it works and how to use it can help you better leverage the technology at work and in your personal life.

In this article, you’ll learn more about artificial intelligence, what it actually does, and the different types. You’ll also learn about some of its benefits and dangers and explore flexible courses that can help you expand your knowledge of AI even further. 

What is artificial intelligence?

Artificial intelligence (AI) is the theory and development of computer systems capable of performing tasks that historically required human intelligence, such as recognizing speech, making decisions, and identifying patterns. AI is an umbrella term that encompasses a wide variety of technologies, including machine learning, deep learning, and natural language processing (NLP). 

Although the term is commonly used to describe a range of different technologies in use today, many disagree on whether these actually constitute artificial intelligence. Instead, some argue that much of the technology used in the real world today actually constitutes highly advanced machine learning that is simply a first step towards true artificial intelligence, or “general artificial intelligence” (GAI).

Despite the many philosophical disagreements over whether “true” intelligent machines actually exist, when most people use the term AI today, they’re referring to a suite of machine learning-powered technologies, such as Chat GPT or computer vision, that enable machines to perform tasks that previously only humans can do like generating written content, steering a car, or analysing data. 

Artificial intelligence examples 

Though the humanoid robots often associated with AI (think Star Trek: The Next Generation’s Data or Terminator’s  T-800) don’t exist yet, you’ve likely interacted with machine learning-powered services or devices many times before. 

At the simplest level, machine learning uses algorithms trained on data sets to create machine learning models that allow computer systems to perform tasks like making song recommendations, identifying the fastest way to travel to a destination, or translating text from one language to another. Some of the most common examples of AI in use today include: 

  • ChatGPT: Uses large language models (LLMs) to generate text in response to questions or comments posed to it. 

  • Google Translate: Uses deep learning algorithms to translate text from one language to another. 

  • Netflix: Uses machine learning algorithms to create personalized recommendation engines for users based on their previous viewing history. 

  • Apple's Siri: Apple's voice-activated personal assistant, Siri, is powered by deep neural networks (DNNs) to interact with users and complete their requests.


AI in the workforce

Artificial intelligence is prevalent across many industries. Automating tasks that don't require human intervention saves money and time, and can reduce the risk of human error. Here are a couple of ways AI could be employed in different industries:

  • Finance industry. Fraud detection is a notable use case for AI in the finance industry. AI's capability to analyze large amounts of data enables it to detect anomalies or patterns that signal fraudulent behavior.

  • Health care industry. AI-powered robotics could support surgeries close to highly delicate organs or tissue to mitigate blood loss or risk of infection.


Kinds of AI

As researchers attempt to build more advanced forms of artificial intelligence, they must also begin to formulate more nuanced understandings of what intelligence or even consciousness precisely mean. In their attempt to clarify these concepts, researchers have outlined four types of artificial intelligence. Here’s a summary of each AI type, according to Professor Arend Hintze of the University of Michigan: 

  • Reactive machines: Reactive machines don’t possess any knowledge of previous events, but instead only “react” to what is before them in a given moment. As a result, they can only perform specific tasks within a very narrow scope, such as playing chess, and are incapable of performing tasks outside of their limited context. 

  • Limited memory machines: Limited memory machines possess a limited understanding of past events. They can interact more with the world around them than reactive machines can, but cannot form a complete understanding of the world. For example, self-driving cars use a form of limited memory to make turns, observe approaching vehicles, and adjust their speed.

  • Theory of mind machines: Machines that possess a “theory of mind” are able to create representations of the world and possess an understanding of other entities that exist within the world. Right now, these machines are only theoretical.

  • Self-aware machines: Machines with self-awareness are the theoretically most advanced kind of AI and would possess an understanding of the world, others, and themselves. This is what most people mean when they talk about "true AI." Currently, this is a far-off reality. 

What is generative artificial intelligence?

Generative AI is a kind of artificial intelligence capable of producing original content, such as written text or images, in response to user inputs or "prompts." Generative models are also known as large language models (LLMs) because they're essentially complex, deep learning models trained on vast amounts of data that can be interacted with using normal human language rather than technical jargon.

Generative AI is becoming increasingly common in everyday life, powering tools such as ChatGPT, Google Gemini, and Microsoft Co-pilot. While other kinds of machine learning models are well suited for performing narrow, repetitive tasks, generative AI is capable of responding to user inputs with unique outputs that allow it to respond dynamically in real-time. This makes it particularly useful for powering interactive programs like virtual assistants, chatbots, and recommendation systems.

That said, while generative AI may produce responses that make it seem like self-aware AI, the reality is that its responses are the result of statistical analysis rather than sentience.


Comments

Post a Comment

Please don't forget to leave your comment.

Popular posts from this blog

Awesome Homemade Gadgets

-
Image
Well, today we see the home made gadgets. The below gadgets are absolutely home made and come on lets check out those gadgets. Take a look at.. Wiimote Power Glove Plenty of Wii controllers are out there, but this custom-built Power Glove is the first to be compatible with the console -- created by a talented Japanese gamer. As you can tell from the video demonstration below, the controller retains wireless functionality and has no problems being detected by the sensor bar. Disintegrator The problem with most rubber band guns is that they're only designed to shoot one band at a time. This chaingun, called the Disintegrator, takes care of that problem. It's comprised of 479-pieces, boasts 24 revolving barrels (288 rubber band capacity), and can shoot up to 40 rubber bands per second . Plenty of Wii controllers are out there, but this custom-built Power Glove is the first to be compatible with the console -- created by a talented Japanese gamer. ...
Read more

20 Geeky Mug Design

-
Image
A coffee mug is the first thing you look for when you get up in the morning. A mug is one of those necessities of life which we cannot do without. Some prefer large, while others prefer small mugs. Some look for class whereas some prefer the simple ones. Whatever your choice, mugs are those inevitable accessories of our day to day life that can never be avoided. For some people, their coffee mugs symbolize their character, personality, and liking. They like to get up each morning and be reminded of that one passion or love that keeps them alive. And for the same reason, they want the first thing that they hold in their hands, a coffee mug, to remind them of that love that keeps them going.  In this article, we have brought to you some of the best coffee mugs ever made until now. Choose the one that rightly fits your personality and style. Automatic Stirring Mug Have you ever spilled out your coffee while stirring or often felt lazy to do hold the spoon and stir you...
Read more

iMac refresh is imminent, according to reseller sources

-
Image
The latest word from behind Apple-authorized cashiers is that Cupertino has stopped shipping out fresh stock of its entry-level 21-inch iMac. The Core 2 Duo-equipped machines were already looking long in the tooth in this Core i- something era, and so predictably the latest speculation centers around the idea of Apple taking its full iMac range into Core i3, i5 and i7 territory. Nobody really knows any of the specs for the moment, but resellers are apparently being advised to sell through what stock they have and to "keep inventories lean" for the next few weeks. Considering Apple's last all-in-one overhaul coincided with the introduction of the Magic Mouse, we're starting to suspect the company might have another iMac plus touch input device combo coming -- potentially in the very near future. Source: Via[ appleinsider ]
Read more