Hat exactly is artificial intelligence?
Posted: Sun Jan 12, 2025 3:46 am
AI is considered a scientific field that brings together different technologies and techniques. The basic principle is that it is designed to think "like a human". One of its founders, Martin Minsky, defines it as: "the science of making machines do things that would require intelligence if done by humans". The term artificial intelligence was first mentioned in 1956.
To do this, it will 99 acres database imitate the mechanisms of human intelligence. In order to achieve this, scientists have developed two concepts. The first, machine learning, boils down to teaching computers to do "like humans". To do this, it must interpret different data. The computer will then be able to carry out one or more defined actions without needing precise instructions. It will also be able to solve problems on its own.
The other concept, deep learning, takes things further. Learning will then take place without resorting to human intervention. The machine will base itself on the data received on which the computer will develop its own skills.
Artificial intelligence allows machines to perceive, understand, act and of course learn new things. When implemented in machines, it will make certain tasks simpler and more efficient.
This technology can also enable an interesting gain in competitiveness for different companies. This is why, in order to develop its use, the State considers AI as a major issue and has set up a national strategy to promote this technology following the Villani report (March 2018). This SNIA concerns the development of AI in companies, but also the sharing of data, a sensitive area of AI. The development of AI in our daily lives has allowed it to evolve. Today, it will allow computers to go further. They can thus perceive their environment or maximize the chances of achieving the targeted objectives by making the right decisions in complete autonomy. AI also has the capacity to interpret the different data and analyze them to continue its learning and adapt over time.
It is important to know that there are actually 3 types of artificial intelligence. The first, weak (or narrow) AI, is based on algorithms and neural networks. It can be used for facial recognition, self-driving cars or simply to search the internet. General AI wants to be able to perform human intellectual tasks. This technology will then learn from known experience. It will identify and predict different models to adapt and can go even further. For this, no algorithm is put into action. But it is necessary to use supercomputers.
The third type of artificial intelligence is super-artificial intelligence. Computers are self-aware. They can imitate and understand human behavior and can "manage" themselves. However, this type of intelligence is not yet commercially available.
Depending on the type of business, AI will have a different impact. In the healthcare sector, artificial intelligence will process data to help with diagnosis, improve treatments, and implement better care protocols. In the banking and financial sector, we will find digital payment advisors, security mechanisms such as biometric fraud detection, or even assets to better manage portfolios ... In the production sector, it will anticipate needs, automate tasks, carry out virtual inventories, or create on-demand production protocols. For retail distribution, AI makes it possible to react quickly and effectively to customer requests. It is possible to carry out interactions without waiting, for example.
To do this, it will 99 acres database imitate the mechanisms of human intelligence. In order to achieve this, scientists have developed two concepts. The first, machine learning, boils down to teaching computers to do "like humans". To do this, it must interpret different data. The computer will then be able to carry out one or more defined actions without needing precise instructions. It will also be able to solve problems on its own.
The other concept, deep learning, takes things further. Learning will then take place without resorting to human intervention. The machine will base itself on the data received on which the computer will develop its own skills.
Artificial intelligence allows machines to perceive, understand, act and of course learn new things. When implemented in machines, it will make certain tasks simpler and more efficient.
This technology can also enable an interesting gain in competitiveness for different companies. This is why, in order to develop its use, the State considers AI as a major issue and has set up a national strategy to promote this technology following the Villani report (March 2018). This SNIA concerns the development of AI in companies, but also the sharing of data, a sensitive area of AI. The development of AI in our daily lives has allowed it to evolve. Today, it will allow computers to go further. They can thus perceive their environment or maximize the chances of achieving the targeted objectives by making the right decisions in complete autonomy. AI also has the capacity to interpret the different data and analyze them to continue its learning and adapt over time.
It is important to know that there are actually 3 types of artificial intelligence. The first, weak (or narrow) AI, is based on algorithms and neural networks. It can be used for facial recognition, self-driving cars or simply to search the internet. General AI wants to be able to perform human intellectual tasks. This technology will then learn from known experience. It will identify and predict different models to adapt and can go even further. For this, no algorithm is put into action. But it is necessary to use supercomputers.
The third type of artificial intelligence is super-artificial intelligence. Computers are self-aware. They can imitate and understand human behavior and can "manage" themselves. However, this type of intelligence is not yet commercially available.
Depending on the type of business, AI will have a different impact. In the healthcare sector, artificial intelligence will process data to help with diagnosis, improve treatments, and implement better care protocols. In the banking and financial sector, we will find digital payment advisors, security mechanisms such as biometric fraud detection, or even assets to better manage portfolios ... In the production sector, it will anticipate needs, automate tasks, carry out virtual inventories, or create on-demand production protocols. For retail distribution, AI makes it possible to react quickly and effectively to customer requests. It is possible to carry out interactions without waiting, for example.