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Computers are getting better at the statistical intuition China glove machine Manufacturers that allows them to scan text and find what seems relevant, but they still struggle with the logical reasoning that comes naturally to people. (And they are often hopeless when it comes to deciphering the subtle wink-and-nod trickery of a clever puzzle.) Many of the common ways of measuring artificial intelligence are in some ways teaching to the test, Littman said."It strikes me for the kind of problem that they’re solving that it’s not possible to do better than people because people are defining what’s correct," Littman said of the Stanford benchmark. "The impressive thing here is they met human performance, not that they’ve exceeded it."Imagine a disco ball suspended in front of us all creating myriad spots of light on the walls of an auditorium that we are sitting in. If the auditorium is our society, the core of the disco ball is artificial intelligence — popularly known as AI.

 Illuminate a dimension of it and get lost within the heaven it shows you. Why is it then that people have started thinking that enjoying this heavenly beauty may lead us to hell? When stalwarts who have been involved in the evolution of this ball begin worrying, naturally a common person like myself feels like worrying, and therein begins my quest to explore AI, a term coined by John McCarthy in 1956.In 1948, a seed of several science fictions became reality with the efforts of John von Neumann, and the Church-Turing thesis: creating a machine for what you want it to do if you specify your wish precisely. People wanted an assistant to do the things that were too difficult for humans.In 1959, Alan Turing proposed the famous Turing test: If a machine can fool a human interrogator and prove its intelligence. Slowly, a definition of AI came to entail making a machine do what humans do better.

 Obviously, what we call AI kept on changing. MIT’s AI lab, semantic nets and machine translations were early efforts. Chess, checkers and poker-playing programmes analysed champions’ games and learnt to defeat them. Today’s news is that Google’s AlphaGo Zero — the latest evolution of AlphaGo, the first program to defeat a world champion at the ancient Chinese game of Go — learnt chess in only four hours by playing with itself, i.e. without "watching" the human’s game.Today’s AI is about data science and self-learning systems. The threat is that such systems may evolve into displaying unintended behaviour. Luckily, some decision-makers are firm believers in the existence of "existential risk". What they say is that you would want somebody close to the power plug to cut the supply the moment you confirm a catastrophe. The funding for AI projects, however, needs to continue.