And do things like humans.
The term AI was created in 1956, but is now becoming more popular due to increased data volume and the advancement of algorithms and improvements in computing and storage energy.
Early AI research in the 1950s studied topics such as problem-solving and symbolic methods. In the 1960s, the Pentagon focused on this type of work, and began training computers to simulate basic human logic. As DARPA, which completed street mapping projects 50 years ago, it produced intelligent personal assistants in 2003, long before Siri, Alexa or Cortana became known names.
This early work paved the way for the automation and visual thinking we see today in computers, including decision support systems and intelligent research systems that can be designed to complement and enhance human capabilities.
AI systems typically exhibit certain behaviors associated with human intelligence, such as planning, learning, thinking, problem solving, representation of knowledge, perception, movement, manipulation, and less social intelligence and creativity.
Why artificial intelligence is important
Artificial intelligence automates repetitive learning and discovery through data, but it differs from automated automation.Instead of automating tasks manually, AI performs large-scale repetitive computer tasks reliably and effortlessly.For this type of automation, human investigation remains necessary to set up the system and ask the right questions. .Artificial intelligence is like the mind of existing products.In most cases, AI will not be sold as an individual application, instead, the products you actually use will be enhanced by AI capabilities, such as adding Siri as a feature for a new generation of Apple products. Large amounts of data can be added for both chat platforms, robots and smart machines to improve many technologies at home and work, from security intelligence to investment analysis.
Uses of artificial intelligence
Artificial intelligence is everywhere.It tells you what to buy online in the future, to understand what you're saying to virtual assistants like Amazon’s Alexa and Apple’s Siri, to find out who and what is in a picture, detect spam, or detect credit card fraud.
Types of artificial intelligence
As mentioned earlier, AI can be divided into two types: narrow AI and general AI. Narrow artificial intelligence is what we see around us in today's computers, such as intelligent systems that have been taught, or learned how to do specific tasks without being explicitly programmed to do so.This type is reflected in the vision recognition systems of self-driving cars, and in recommendation engines that suggest products you might want based on your previous purchases. Unlike humans, these systems cannot learn how to perform certain tasks, so they are called narrow AI.
Narrow artificial intelligence
There are a large number of emerging applications of narrow AI, such as:- Interpretation of video bulletins from drones conducting visual inspections of infrastructure such as oil pipelines.
- Organize personal and business calendars.
- Respond to simple customer service inquiries.
- Coordinate with other intelligent systems to perform tasks such as booking a hotel at the right time and place.
- Help radiologists discover potential tumors with X-rays.
- Mark inappropriate content online, and many more.