Quantum AI
Quantum artificial intelligence is a new direction that could significantly change the way we use neural networks.
Unlike traditional computers, which perform calculations sequentially (bit by bit), quantum computers operate on quantum bits (qubits). This allows quantum AI to process multiple solutions to a problem at the same time – and much faster. Such artificial intelligence can help in developing new drugs, forecasting the economy, optimizing logistics, and making scientific discoveries.
Although quantum computers have not yet become russia telegram data widespread, large companies such as IBM, Google, and Microsoft are actively developing this direction. It is expected that in 2025, the first commercial applications of quantum AI will be used to train neural networks and speed up the work of large models.
Learn machine learning from scratch to advanced level and develop a neural network in a master's degree with MEPhI. Theory from leading Russian teachers and practice on real tasks
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Learn machine learning from scratch to advanced level and develop a neural network in a master's degree with MEPhI. Theory from leading Russian teachers and practice on real tasks
The essence of AI search engines is that instead of the usual links, users receive ready-made answers, recommendations, and even solutions to problems. Such search engines are already in demand in business and education. True, they are currently imperfect: for example, Google users recently noticed that their neural network gave strange and sometimes even harmful advice on search queries.
If AI search engines are improved, we will no longer have to rummage through links and scroll through long articles to find information: the neural network will offer several sources at once and a brief summary of them. Here's how such a search engine works using ChatGPT-4o as an example: