Self-operating machines

Thanks to developments in Artificial Intelligence, autonomous machines have become one of the strengths of industry and scientific research. Their operation involves minimal human participation and integrates elements of the latest technology, in terms of the development of mechanical components as well as increasingly complex software programs, which allow the machine to solve problems, make decisions and predict events. Within its wide range of applications, it can optimize decision making, evaluate business prospects, favor the community in general, among others. 

Autonomous machines are fed with massive data (Big Data) and by means of Machine Learning techniques, they can solve problems that allow them to carry out their tasks in the most optimal way, improving each of their processes to carry out their tasks in an agile and safe way. Within the automation process you can find machines that perform simple and repetitive tasks, such as those used to assemble vehicles, and others that perform much more complex processes, which are used for scientific research, the financial industry, earth observation from the use of satellite information, etc

The automotive industry is one of the industries that mainly makes use of robots when manufacturing automobiles; this makes vehicle production much faster and more precise, which reduces costs by requiring fewer people in the assembly process. 

Technological developments in the manufacture of electronic components, as well as advances in artificial intelligence techniques, have made it possible to automate many processes, since, in addition to performing repetitive tasks at high speed and effectiveness, their adaptation processes enable them to operate in adverse conditions

The technology industry has made profit of developments in artificial intelligence for the creation of robots to make processors smaller and smaller and in massive quantities, which would be practically impossible for humans today.

One of these developments has to do with the analysis of data generated by satellites, which are being used both for scientific research and for the development of new business alternatives related to earth observation. In the case of the latter, some companies have developed algorithms and programs that interpret the information collected by earth observation satellites (images and data), to adequately monitor agricultural and livestock activities, track natural disasters, measure levels of atmospheric and water pollution, etc.

The development of Machine Learning and Big Data techniques have enabled actions for the prevention and mitigation of natural disasters, as well as the monitoring of environmental, agricultural and livestock activities, based on the use of satellite images. Image: ESA.

Currently, increasingly intelligent systems have been created that allow them to address complex tasks and that have a certain degree of autonomy, since they do not require operators or human control for their proper functioning, after entering into operation. This has made many people fear losing their jobs, as they think that at some point humanity will be completely replaced by machines; however, reality shows that each of the developments in artificial intelligence and process automation will have a positive impact on human life by facilitating processes that without these developments, would be impossible to perform. 


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