Microsoft co-founder also believes there’s reason to be cautious, but that the good can outweigh the bad if managed properly.

Since recent developments have made super-intelligent machines possible much sooner than initially thought, the time is now to determine what dangers artificial intelligence poses.

In a comment, Elon Musk wrote: “The pace of progress in artificial intelligence (I’m not referring to narrow AI) is incredibly fast.

It’s the AI applications that play a critical role in ensuring safety that Musk, Hawking, and others were concerned about when they proclaimed their hesitation about the technology.

While we haven’t achieved super-intelligent machines yet, the legal, political, societal, financial and regulatory issues are so complex and wide-reaching that it’s necessary to take a look at them now so we are prepared to safely operate among them when the time comes.

It might even be plausible to expect that the nuclear arms race will be replaced with a global autonomous weapons race.

Children learn language by observing their environment, listening to the people around them, and connecting the dots between what they see and hear.

Among other things, it helps children establish the order of their language, such as where things and verbs fall in a sentence.

In computing, language learning is the work of syntactic and semantic parsers.

Soon, they could even be used for home robotics.

For example, the robot with the parser can constantly monitor its environment to reinforce its awareness of spoken commands, including when speech is not fully grammatical or explicit.

Over time, artificial intelligence (AI) services have shifted from algorithms that rely on programmed rules and logic — instincts, where algorithms have some rules and take training data to learn through trial and error.

Artificial intelligence has impacted almost every industrial sector, and civil engineering has now joined the bandwagon.

AI is set to make construction operations more manageable, but also to make the construction business more profitable.

AI has a whole range of functions in civil engineering, which improves processes and changes the way builders and engineers work:

Construction companies use deep learning techniques to improve the quality of their construction processes.

Image recognition of photographs collected by manual drones can be used to identify areas of danger and compare them with existing blueprints to identify structural defects.

Furthermore, through reinforcement learning, AI algorithms can use trial and error techniques to identify the best practices to follow.