Even if we do not always realize it, Artificial Intelligence (AI) is part of our daily lives. Indeed, it does not consist only of being integrated into large devices with a human appearance and extraordinary capabilities: robots! AI is actually more and more discreet and present in applications that are now commonplace (such as smartphones).
What is Artificial Intelligence?
The term “Artificial Intelligence” refers to a set of techniques and algorithms that are designed for machines so that they are able to simulate intelligence, just like humans. It is not an autonomous discipline, but rather set of concepts.
Artificial Intelligence is often classified in the group of Cognitive Sciences because it makes use of Computational Neurobiology (Neural Networks primarily), Computer Science, and Mathematical Logic. This technology aims at solving very complex problems that involve high-end logic.
Applications of Artificial Intelligence
There countless applications of Artificial Intelligence. Here is a brief description of some of them:
- Voice recognition: Although progress is slow, the results are very impressive and very encouraging. We are not yet at the point of perfectly recognizing the words of any individual because it requires a lot of extra-language information as the context in which the words were pronounced. Direct use case – Siri, Cortana, OK Google.
- Handwritten Text Recognition: Contrary to appearances, typing is a fairly complex problem although some software provides more than satisfactory results, Handwriting poses an even more serious problem to the extent that its interpretation sometimes poses an insoluble problem to man. Use case – OCR, captcha.
- Face recognition: This type of software has long been considered the most difficult to develop, however, neural networks offer interesting results. Use case – surveillance, e-KYC, etc.
- Natural Language processing: Before summarizing or translating a text, you must first understand it. A software will have understood a text when it will be able to represent it in a form independent of the language in which it was written. Although this task is very difficult, a lot of progress has been made. Use cases – chatbots, Google search!
- Video games: At the most basic level, AI is to reproduce the behavior of other players or to manage the behavior of the active elements (i.e. all elements of the game on which one can act). The basic concept is that these behaviors are simulated. In other words, game AI is more “artificial” than “smart”. Two categories can then be differentiated: it can be a simple system based on rules, or complex, intended to oppose a player (an opposing army for example).
- Robots: Known to all, these devices must perform generally dangerous (mine clearance) or repetitive (factory work) tasks for humans. The increased accuracy of these machines has made them useful in many fields. Combined with the principle of AI, the results are surprising … Robots are subject to several rules to be effective: they must be able to learn from their environment and their mistakes. Indeed, if he is not able to learn, the robot cannot be described as intelligent.
- Algorithmic trading: Dealing with many stock indexes, geopolitical factors, the use of artificial intelligence based trading algorithms allows to anticipate opportunities as well as financial risks well before and without the human eye.
- Healthcare industry: AI has been increasingly being used in the healthcare sector to solve a variety of problems – processing medical records, designing plans for treating an individual, automating day-to-day tasks (RPA), robotic consultation and many more. By combining the ability to analyze images using deep learning and the power of an open source medical imaging database, various ongoing projects wish to improve the prevention of certain diseases. Anything that implements scan, MRI, and X-ray analysis could benefit. A team from Stanford University has recently been able to create an algorithm that can differentiate, according to medical imaging, benign and malignant tumors as well as a dermatologist, but at a much lower cost and faster. There is no question here of replacing doctors, but simply of being able to finance large-scale screening campaigns.
- Decision support: Engine inserts rules and logic into the AI systems, which is used for configuration, maintenance, and tuning. This is a mature technology that is used by a wide variety of business applications and assistance or automated decision making.
- Biometric Recognition: Enables more natural interactions between humans and machines, including but not limited to image and tactile recognition, speech, and body language. Mainly used in market research.
- Insurance industry: Insurance companies are increasingly using face recognition based artificial intelligence to perform e-KYC during online sale of policies.
- Gaming industry: The game of Go is much more resistant to the efforts of game programmers, it has become a test area for different AI methods. Unlike chess, the computer examines 10 ^ 170 possibilities to play a game at Go!
- Machine Translation: tools like Google translate have made lives so simple. One can be in another country and yet understand the language of people in that country without relying on anyone.
Artificial Intelligence, appearing in extremely varied fields, is a versatile principle. AI has touched so many aspects of our day-to-day lives that we happen to take it for granted. However, the reality is that AI has impacted our lives in a completely revolutionary way.
Research scientist Andrew Ng quotes that AI will be as big of a revolution as electricity.