10 Most Needed Terms for Everyone Who Uses Artificial Intelligence

The summer is almost over. The fall will bring new challenges, possibilities, and ideas. It’s the high time to stop postponing all those “I’ll do it tomorrow”. It concerns not just your personal plans, but also the career. Stay up-to-date with the latest artificial intelligence news – read about the most needed terms for everyone who uses artificial intelligence.

1. Activity recognition

Writing about the importance of artificial intelligence, the first thing to mention is the assistance to elderly people. Activity recognition may be effectively used for these purposes. For example, imagine an elderly woman who lives by herself. She gets up, turns on the stove, takes her medication, makes a tea, and forgets about the stove. The artificial intelligence device reminds this woman to turn the stove off. Using activity recognition, one of the most interesting machine learning aspects, it monitors one’s activity, prevents emergencies, and carries out other functions.

You need to know these terms if you want to use artificial intelligence.

2. Affective computing

Working in artificial intelligence, scientists and developers have one goal – creating artificial super-intelligence that will be cleverer than humans. That means these AI representatives will be able to recognize human affects, process them, and interpret. Affective computing is about recognizing emotional information and creating machines that can simulate emotions.

Such machines have to be good at facial affect detection, emotional speech processing, expressions defining, gestures recognition, and physiological monitoring. One of the most interesting examples of affective computing is the blender programmed by Kelly Dobson. When the scientist wanted to turn the blender on, she made blending noises. For increasing its speed, Dobson was saying “Rrr” in a high voice. For lowering the speed, she lowered her voice. This blender could recognize the volume and velocity, not just the voice.

3. Artificial creativity

Thinking about the uses of artificial intelligence, you’ll consider different spheres. Business, healthcare, education… And what about the artistic community? Can artificial intelligence be creative?

Philip Johnson-Laird created a program that improvises modern jazz. In order to be good at jazz improvisation, a computer needs to manipulate complex chord sequences. However, the goal may also be achieved by teaching the machine some simple rules. The results are not the best. However, they are good as for a jazz beginner.

Another great artificial intelligence use example is AARON, a computer program that produces drawings and paintings of a nice quality. Starting with simple line drawings, AARON is now experimenting with colors. Having studied the information about composition, perspective, drawing and coloring rules, the machine surprises viewers with artistic skills. This example of artificial creativity is very good though it doesn’t claim to be a new Dali or Picasso.

Philip JohYou need to know these terms if you want to use artificial intelligence.nson-Laird

4. Artificial stupidity

Everyone who uses artificial intelligence or reads about the latest AI news may have heard this funny term. It may have two definitions. Firstly, it’s the inability of artificial intelligence to perform some tasks. Secondly, it’s the technique of making programs dumber so to introduce errors in responses.

One of the most famous artificial stupidity examples is the chatbot introduced at the first Loebner prize competition. Artificial stupidity programs have to help developers find flaws by showing the worst scenarios. This saves a lot of time they usually waste on checking different scenarios.

5. Bot

It’s a robot that doesn’t have a physical form. They are also called chatbots. To be more precise, chatbots are the artificial intelligence that chat with humans. The most popular chatbots list includes A.L.I.C.E., Cleverbot, Rose, Pewdiebot, Hi Poncho, Mitsuku, Jabberwacky, Visjar. Nowadays chatbots are used more often as they boost businesses and take communication with clients to the next level. Here is a guide on how to use chatbots in business.

You need to know these terms if you want to use artificial intelligence.

6. Computer vision

Whether you’re searching for cool computer intelligence applications or just trying to figure out how AI works, you should find out more about computer vision. It’s the field that discovers the processes of digital images acquiring, process, and understanding. Its subdomains include object recognition, motion estimation, image restoration, event detection, video tracking, and scene reconstruction. An average computer vision system contains a power source, a processor, a control cable, communication cables, and a display.

7. Decision support system

The next term every entrepreneur should know is a decision support system. Many businesses and organizations use such systems for taking decisions. Management, planning, and organization become easier when entrepreneurs use the assistance of AI. Decision support systems may be driven by data, communication, documents, knowledge, and models. Usually, these systems work in the following way:

  • Assess all the information
  • Compare information
  • Project figures based on assumptions
  • Make consequences, taking into account past experience and specific context

8. Friendly artificial intelligence

Can artificial intelligence be dangerous? Is it controlled by humans? Can it become so powerful that AI will run this world? Will AI take over our jobs? These are the questions many people ask. Stephen Hawking, Elon Musk, and Bill Gates are among those who suggest that artificial intelligence use may become a threat. Friendly artificial intelligence is a hypothetical general intelligence that has only positive effects on humanity.

9. Machine learning

If you’ve been reading our IBM Watson posts, you must already know a lot about machine learning. It’s the usage of algorithms that allow machines learn from data. This powerful approach allows people use machines for carrying out tedious and routine tasks. For example, IBM Watson can analyze unstructured data, read millions of pages in a second, and make conclusions. Machine learning is an integral part of every AI development process.

10. Natural language processing

The ability of machines to recognize, interpret, and synthesize speech is called natural language processing. Machine translation, automatic summarization, sentiment analysis, and text classification are other features that make content management easier and more effective. Natural language processing is used for creating conversational agents that become so popular now.

There are hundreds of artificial intelligence applications. You may always find the one that will suit your business vertical. Understanding how to use artificial intelligence, you will boost the business and increase development rates. Check out more interesting artificial intelligence use articles on our blog. Or just contact us to get tips on how to use AI effectively.

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