What is artificial intelligence
5 Things You May Not Know About Artificial Intelligence
AI often seems to be a highly scientific topic, and although there is so much information and materials available, it's not always easy to distinguish between truth and fiction, or to find easy-to-understand explanations.
For this reason, Google has teamed up with the Oxford Internet Institute OII at Oxford University to introduce The A to Z of AI, which aims to divide a complex field of computer science, offering explanations for beginners to help anyone understand artificial intelligence, and how Works, and how does the world change around us?
Today we'll review 5 things you may not know about AI:
1. Already present in our daily lives:
You may be dealing with AI every day without realizing it, if you're using Google Photos to save and organize your photos, ask for a smart weather assistant, or use your car's GPS navigation system to get directions you're already using in your daily life.
These examples may seem obvious, but there are many other ways in which AI plays a role in your life that you may not realize, as it also helps solve some of the major global challenges, for example: there are applications that you use to help farmers identify crop problems. Agricultural.
There are now systems that can check citywide traffic data in real time to help people plan their driving tracks efficiently.
2-Used to help address the global climate crisis:
Climate change monitoring includes large and ever-evolving data sets, and AI systems help analyze these data sets, to track changes in climate conditions in real time, helping to find solutions that may have a positive impact on our planet faster.
A common use is automation systems that help people regulate the amount of energy wasted in homes by turning off heating devices and lights when they leave the house.
It also helps combat drought by monitoring areas affected by desertification, as well as tracking the melting of glaciers and effectively predicting sea levels, so that action can be taken.
3. Artificial intelligence learns from examples in the real world:
Artificial intelligence is the name given to any computer system trained to simulate human behavior, and as a child learns through examples, the same applies to machines and machine learning algorithms, where you learn through the Datasets you get.
Data sets may be weather data, images, or music clips used to train AI systems. Because of its large size and complexity — think, for example, of a data set of comprehensive maps covering the entire known solar system — it can be very difficult when it comes to construction and improvement.
That's why AI systems design and development teams often share data sets for the wider scientific community, making it easier to collaborate and benefit from each other's research.
4. Used to fight Deepfakes counterfeiting techniques:
The evolution of AI has led to the emergence of new ways of technology that help create images, audio clips, or videos that appear to be very realistic called Deepfakes.
Deepfakes works by carefully examining images or sounds in the real world, and then manipulating them to create fake works that are difficult to distinguish from real works, making them a major concern.
These techniques, which were considered impossible only a few years ago, have led to a variety of applications in many fields, from visual effects in Hollywood movies to music production to pornography.
While many are meant to be amusing and fanciful, inappropriate use can cause the dissemination of misinformation that may be harmful to society.
However, there are often some signs that distinguish counterfeit material from realism, for example: when creating a video using Deepfakes, sounds may sound a little automated, images may be influenced by lighting, or characters repeat strange hand gestures.
It may be difficult for people to identify these signs, but here artificial intelligence itself helps us discover these contradictions.
5. It is impossible to teach AI how to become a human being:
You can give an artificial intelligence system all the data in the world, but the result will be that it still does not represent or understand every human being on earth — and will not be able to understand everything that humans can understand — because we are multidimensional and complex characters, falling outside the range of 2D data that Machines use them to understand things.
Developers train and direct AI systems for the people who use them. As such, it is up to everyone to choose how they interact with these systems and to determine the information they share with them. So it is the person who decides how much ai learns about him.
0 Comments