deep learning. Thanks to this technology, artificial intelligence systems can efficiently process and analyze large amounts of data, including images and speech. For example, even now in medicine, thanks to deep learning, artificial intelligence can analyze and diagnose medical images; In the automotive industry, this approach helps to improve safety systems and make cars more useful.
Development of autonomous systems. These are unmanned vehicles, airplanes, robots. Today they are already used, but in the future people will begin to create more useful and complex autonomous systems. This will be possible thanks to the combination of deep learning with other technologies: for example, with natural language processing, machine vision. As a result, robots will be able to perform complex operations, for example, without the involvement of doctors.
Creating AI networks. These networks will be able to develop and learn on their own. As a result, AI systems will become even more efficient and autonomous. Similar AI networks are already used in the gaming industry, but this technology could also be applied in medicine and industry in the future.
Developing systems to solve global problems. For example, such artificial intelligence systems can fight hunger and poverty around the world by analyzing large amounts of data.
Source: Ferra
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