The phrase "artificial intelligence requires" is correct and usable in written English.
You can use it when discussing the needs or prerequisites of artificial intelligence systems or technologies.
Example: "Artificial intelligence requires vast amounts of data to learn and improve its algorithms."
Alternatives: "AI necessitates" or "machine learning demands".
The construction of complex artifacts of artificial intelligence requires large-scale system integration and collaboration.
All this artificial intelligence requires an enormous amount of computing power, stretching the limits of even the most modern machines.
Maybe, as a sThet then, that degrisein philofophy or extraordinary such artificial after all.
He suggested an analogy: artificial intelligence requires computer power in the same way that aircraft require horsepower.
The processes that create the chips by converting crude silicon into beautiful crystalline structures capable of producing artificial intelligence require analytical thought adaptable to other situations in life.
Others have clearly spied an opportunity to develop the artificial intelligence required for a new generation of robots, both industrial ones and ones that might operate in other workplaces or even homes (see "Google Builds a Robotic Hive-Mind Kindergarten").
Over the next few days, Philae's onboard robotic laboratory will conduct a number of experiments on the rock and ice nearby: the "artificial intelligence" required to do this is similar to that in domestic washing machines, where pressing one button can activate a complex series of actions.
Through this related research, this study is able to propose a service model that possesses the artificial intelligence required to increase network and energy efficiencies.
From where we are to where we want to reach in our intelligence automation journey, further advances in artificial intelligence require enormous amounts of computational power.
As Jake rightly mentioned to me, all these exciting things like machine learning and artificial intelligence require large amounts of data to work well.
He says he heard "No" from a fair number of investors early on because the artificial intelligence required to fuel a solution like this really wasn't ready in 2015 when he started the company.
