Artificial Intelligence Technology
For most users, AI is ChatGPT, Midjourney and similar chatbots that help solve routine tasks, but nothing more. However, the capabilities of neural networks are much broader, and their implementation in technology and devices allows for greater success in any area of human activity. Medicine and agriculture, science and industry, safety and ecology - technology with artificial intelligence is already used everywhere. How exactly, what it gives and what are the prospects for AI in this area - we will tell you in the article.
Why is this necessary
Indeed, why change something and implement AI in devices or devices? After all, everything works well anyway. Yes, but it can be better, and artificial intelligence, due to the instant processing of huge amounts of information, their analysis allows for increasing the speed, accuracy, and quality of work. Of course, in medicine, a robot with AI will not replace an experienced doctor, and in industry - an engineer or technologist. But devices with artificial intelligence are more advanced tools that help people further change their lives for the better.
Is it possible to use neural networks in devices and equipment
Smart devices are already used in everyday life - the same smart speakers, smartphones, smart home systems with AI, and so on. But not only everyday life - neural networks are already being introduced into transport, robotic equipment and robots, unmanned devices. That is, almost everything that surrounds a person and is used by him.
Examples
Let’s leave aside chatbots, AI for content generation, analytics and other work that have become a tool for designers, marketers, economists and other specialists. Let’s give examples of how devices and devices with AI help in production, medicine, science:
- The loudest news of 2024 is the awarding of the Nobel Prize for the development of an AI model for predicting complex protein structures. Proteins are the basis of life on Earth, each protein has its own properties, which depend not only on the chemical composition of the protein, but also on its structure. Predicting the structure of proteins, creating new ones is a breakthrough in medicine, pharmacology and science in general.
- Smart glasses for the blind. These are Microsoft HoloLens and “Robin”, which recognize people, objects and transmit information about them to a person using special sound signals.
- Surgical robots with AI are already used in minimally invasive surgery. The latest news is that a lung transplant was performed with the help of such a robot, and it was done successfully.
- AI helps to more accurately analyze medical images, test results, adjust drug dosages, and conduct comprehensive diagnostics.
- In agriculture, drones with AI spray fields, and machines are already being designed that will be completely autonomous. Soil preparation, sowing, field cultivation, harvesting - all this can be done by machines supplemented with neural networks.
- Devices with AI in industry help to predict failures and monitor the state of production lines, control the quality of raw materials and finished products. More than 16% of industrial enterprises in Russia are already equipped with devices and equipment with artificial intelligence, and this is the very beginning.
- Unmanned equipment with artificial intelligence is actively being introduced in logistics - the same delivery robots from Yandex or robots in WB warehouses.
- New technologies have even affected waste recycling - one of the recycling plants in St. Petersburg uses a robotic system based on AI. The same systems are gradually being introduced in the EU countries, in the USA.
- In the field of security, AI is indispensable - we all know that modern city security systems include CCTV cameras. How to process huge streams of images to find one person or car? A neural network is used.
- And again the field of security, but online. Suspicious traffic, application and software vulnerabilities, data protection, anti-phishing and virus detection, fraud detection and much more - to solve these problems, AI is actively being implemented by all large organizations and companies. In our country, a striking example is Sber.
- Autopilot. Yes, we are talking about Tesla, first of all, but these are not the only cars with an AI-based autopilot.
Useful tips
Devices and equipment that operate using a neural network are no longer the future. This is the present. But in order to effectively work with such devices, improve production or any other processes, you need to remember the nuances:
- AI is not omnipotent - it is just a tool whose operation depends on the accuracy and completeness of data, the correctness of training, human control;
- neural networks need constant training and adaptation;
- when providing information to AI, take care of data security, do not forget about privacy;
- constantly update your knowledge of neural networks, as they evolve quickly, and what was relevant two years ago is not relevant now.
Results
There is a lot to write about technology or devices with AI, this is an inexhaustible topic. But, to summarize, we can say
