The Artificial Intelligence (AI) allows the machines to learn from the users experience, to adapt to the new features and to accomplish humain’s tasks.
The Artificial Intelligence (AI) allows the machines to learn from the users experience, to adapt to the new features and to accomplish humain’s tasks. Most examples of AI such as computers which play chess, depend heavily on learning in depth of the natural language. By using these technologies, computers can be fit to achieve specific tasks, dealing with large quantities of data and recognizing the models in the data.
History of Artificial Intelligence:
The appellation artificial intelligence was invented in 1956, but became popular due to the increase in amounts of data, forward algorithms and amelioration of the computing might and storage.
The first research on the AI in the 1950s, probed topics as the resolution of problems and symbolic ways. The U.S. Department of Defense become interested in this type of work in the 1960s, and began to prepare computers to imitate the human reasoning basics. For example, the Agency DARPA* completed projects of road mapping in the 1970s. And DARPA developed intelligent personal assistants in 2003, well before that Siri, Alexa or Cortana.
These works have opened the way to automation and distinct reasoning that we can recognize now in computers, a well as the decision support & smart search systems which can be configured to complement and increase human capabilities.
The AI was descibed in Hollywood movies as a humanoid robot that take control of the world, the recent developement of AI technologies is not so frightening. Instead, AI grow accommodate many proper benefits in each industry.
The importance of artificial intelligence
The AI automates the learning and discovery along of the data.
But the AI is dissimilar from the robotic automation based on the hardware. Instead of computerized carry on tasks, the AI executes frequent large volumes tasks computerized reliable manner. The human research remains important to build & set up the system.
Adds intelligence to actual products.
The AI will not be commercialized as a single application. The products already used will be mended with AI abilities, for exemple Siri the new feature of Apple products.
Automation, bots and intelligent machines can be mixed with massive quantities of data to ameliorate many technologies at domicile and at work.
The AI adapts through apprenticeship algorithms to allow data to do the programming.
The AI detects framework and lawfulness in data to led the algorithm to gain skills: just as the algorithm can play chess, it can learn itself what product or services to recommend online. And the models fit when they receive new data.
The spread in return is a technique of AI that enable the model to accommodate through practicing and added data, when the answer is not correct.
The AI analyzes more and heavy data using neural networks that have a lot of hidden layers. Setting up a system of fraud detection with hidden layers was impossible a few years ago. All this has changed with an amazing computing power and large volumes of data. You need lot of data to form deep learning models because they assimilate directly from data. The more data you can added to them, the more specific they become.
The AI reached amazing accuracy thanks to depth of neural networks, which previously wasn’t possible. For example, the more we interact with Alexa, Google Search & Siri … the more they became specific and more accurate due to deep learning. In the medical field, the techniques of artificial intelligence help the classification of images and the recognition of objects can now be used to detect a cancer with the same precison as highly qualified radiologists.
How the artificial intelligence is used?
Each industry has a strong demand for the capabilities of AI – in particular question response systems that can be used for patent search, assistance … Other uses of the AI include:
Health Care : The AI applications can provide customized medecine. The health personal assistants can act as coach, remembering you to take your medecine, eat more healthily or telling you to exercice.
Retail : Provides capabilities to purchase Virtual who offer personalised recommendations and discuss options to purchase with the consumer. The management of stocks and site layout technologies will also be ameliorate with the AI.
Manufacturing : the AI can analyze the data of a plant from the equipment connected to predict the load and demand expected in using recurrent networks, a specific type of Network of Learning in depth used with data of sequence.
Sports : AI can be used to capture images of game and allow coaches with reports to better assist organize the game, including strategies and more optimized field positions
How does the artificial intelligence works
AI works by combining large quantities of data with a rapid processing and intelligent algorithms, leting the software to train automatically from models in the data.
The AI is a vast field of study which includes many theories and technologies, as well as the main sub-areas:
The automatic learning automates the construction of analytical models. It uses methods from statistics, neural networks and physics to find hidden information in the data without be explicitly programd to know where to look or what conclude.
A neural network is a type of automatic learning composed of interconnected units (as neurons) that deal with information by answering to external inputs, relaying information between unit. The process requires several passages on the data to search connections and obtain a Meaning for Data Not Defined.
The learning In depth uses big neurons networks with many strata of processing units, catching advantage of the progress power and of training techniques improved to learn complex models in large quantities of data. Common applications include image and voice recognition.
The cognitive informatics is a sub-domain of the Artificial Intelligence that aims natural & human interaction with the machines. By using artificial intelligence and cognitive informatics, the ultimate target is to simulate human process by the ability to execute images and words and then to respond in a coherent way.
The vision by computer is based on recognizing forms and learning In depth to recognize what’s in an image or a video. When the machines can analyze and realize the content of images, they can take images or videos instantly and interpret their environment.
Natural Language Processing (NLP) is the capacity of computers to interpret, analyze, realize and produce the human language, comprising speech. The next step of NLP is the interaction in natural language, which permits humans to communicate with computers using a normal and current language to perform tasks.
In addition, several technologies support the AI:
The processing units graphics Provide the compute power that’s required for the iterative treatment. The formation of neural networks requires large amounts of data plus the calculation power.
The Internet of Objects generates massive volumes of data from devices already connected, most not analyzed. The automate models with AI will provide us to use more of it.
Advanced algorithms are developed in new ways to analyze more heavy data quickly and at several levels. This intelligent processing is essential to identify, anticipate and understand complex systems and optimize best & unique scenario.
The objective of the AI is to provide software capable of reasoning on input and explain in output. The AI will allow human to interact with software and help decision support, for specific tasks, but this is not a replacement for humans and this will not be the case in the near future.
* DARPA : Defense Advanced Research Projects Agency