What you need to know about AI (and how it will affect your life)

Published on
02 Sep 2022
4 min read
ki
Contributors
co
Phoenix Baker
Product Manager
co 3
Lana Steiner
Product Designer
co 2
Drew Cano
Frontend Engineer
Subscribe to our newsletter
Read about our privacy policy.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

What is AI?

Artificial Intelligence, or AI, is the attempt to create machines that can do what humans can do, or at least be helpful to humans in their daily lives. The term was actually coined in a conference in 1956. The researchers who first worked on it were interested in creating a machine that could outperform humans in intellectual tasks. The term AI has now been expanded to also include systems that can be helpful to humans in daily life. For example, an AI-powered virtual assistant like Siri or Alexa. AI can also be used to make a car or drone drive itself. Or to make a computer make diagnostic decisions in healthcare.

Computer Vision

Computer Vision is a subfield of AI that focuses on building machines that can understand images. This includes being able to distinguish between different types of images, and even between real-world objects like buildings or plants. Computer Vision can be used for tasks like image recognition, autonomous vehicles, and medical imaging. You’ve probably seen a lot of buzz around computer vision recently — especially as it relates to images. Collecting and analysing images has become a massive industry, with applications in everything from advertising to medical science. Computer vision can be used to find objects in images, change the colour of images, and even analyse emotions. Computer vision can be used to find buildings, cars, or even people in images. This can be used to automatically map areas in images and create more accurate data for maps, or to help visually impaired people understand the environment around them. It can also be used to change the colour of images and make them more vibrant, which can be useful for creating artistic images. It can even be used to analyse emotions in images — which can be useful for understanding how people feel about a certain product or service.

Narrow AI

Narrow AI refers to artificial intelligence that has been designed for a specific purpose. AI can be applied to almost any industry, but only the most sophisticated algorithms and models will be able to extend to new areas. A good example of narrow AI is translation. There are many different translation apps that can translate between different languages. However, they can only translate text between those languages — they can’t translate images or anything else. Narrow AI is often used to complete specific tasks that are fundamental to human life — like understanding language and speech, or analysing images. These AI systems are designed for one specific task, and are not able to be reprogrammed for other tasks.

Roboticist

A roboticist creates robots and artificial intelligence for robots. Robots are a type of artificial intelligence because they are machines that can complete tasks that would otherwise be done by humans. Robots can perform tasks that are too dangerous for humans, or too tedious. Robotics is a very broad field with many subfields, including artificial intelligence. In the field of robotics, artificial intelligence is used to create machines that can think and act like humans. A subfield of artificial intelligence designed to create machines that can complete tasks that would otherwise be done by humans.

AGI and machine learning

Artificial General Intelligence, or AGI, is the subfield of AI that is focused on creating a machine that can think like humans. There is no consensus on whether we’re just around the corner from achieving this or if it’s a distant dream. However, most researchers agree that creating AGI will require many breakthroughs in the field of AI. One of those breakthroughs is machine learning. Machine learning is a subfield of AI that teaches computers how to learn without being programmed for every specific task. It’s used in almost every field of AI — from autonomous vehicles to medical diagnosis. AI systems that use machine learning are able to be reprogrammed for different tasks or contexts. It’s often used in combination with pinpoint algorithms that are designed for a specific task, but don’t have the flexibility of machine learning

Expert AI

Expert AI is a subfield of AI that’s used to create programs that behave like humans who have expert knowledge in a field. This can be used to build an AI program that is an expert in a specific field, or to create software that can assist human experts. AI programs that are designed to act like humans who have expert knowledge in a specific field.

Summary AI

Summary AI is the attempt to create machines that can do what humans can do, or be helpful to humans in their daily lives. There are many different types of AI, and new subtypes are being added all the time. AI can be applied to almost any industry, but only the most sophisticated algorithms and models will be able to extend to new areas. A good example of narrow AI is translation. There are many different translation apps that can translate between different languages, but only between those languages — they can’t translate images or anything else. Robotics is a very broad field with many subfields, including artificial intelligence. In the field of robotics, artificial intelligence is used to create machines that can think and act like humans. A subfield of artificial intelligence designed to create machines that can complete tasks that would otherwise be done by humans. Artificial General Intelligence, or AGI, is the subfield of AI that is focused on creating a machine that can think like humans. There is no consensus on whether we’re just around the corner from achieving this or if it’s a distant dream. However, most researchers agree that creating AGI will require many breakthroughs in the field of AI. One of those breakthroughs is machine learning. Machine learning is a subfield of AI that teaches computers how to learn without being programmed for every specific task. It’s used in almost every field of AI — from autonomous vehicles to medical diagnosis. AI systems that use machine learning are able to be reprogrammed for different tasks or contexts. It’s often used in combination with pinpoint algorithms that are designed for a specific task, but don’t have the flexibility of machine learning.

Key takeaway and how you can benefit

Technologies like artificial intelligence are transforming our world and the way we live. They’re also opening up new career opportunities for people who want to work with these technologies. With arttac solutions on your side as partner for all those different options you have an appropriate partner which can help you with a variety of AI tasks to help to transform your company. We deliver you consultance service from the first to the most advanced step in AI, can set up deep reinforcement learning to get realistic insights in your company, or determine goals for your cloud service tools to make them even more efficient.
Contact us to find out more.