And pretty soon, they'll come for us. That seems to be the story today, whether from Hollywood or in breathless articles in popular tech magazines about artificial intelligence and nanotechnology. In a world where machines can learn, once humans push the "on" button, there's no stopping our robot overlords, right? When machines become more intelligent, humans are freed to become more creative. That opens doors to completely new possibilities.

There have been an increasing number of reports about the rapidly developing world of AI, where computers can learn to use big data independently. Most recently, Google yesterday announced it would begin exploring whether automated machines are capable of creativity and producing original artwork and music. Many people's gut reaction to this is that nothing, not even the innately human ability to create, is safe from the machines. It makes me think of the "infinite monkey theorem": give a monkey a typewriter and an infinite amount of time and eventually, it will type something that makes sense. So, if we give computers (AI) huge amounts of big data and time, they will eventually develop creative ideas that can compete with the likes being dreamt up by skilled creatives and brilliant agencies all over the world?

The next episode of "Modern Workplace" explores cognitive technology and how advances in artificial intelligence will impact analytics and demand for human interaction. Dr. Tom Davenport shares how analytics technology is being advanced by the progression of artificial intelligence and will discuss how to strike the right balance between man and machine; while Max Wessel gives the inside scoop on what current trends in technology will succeed and fail this year. Register for the webcast to gain an insider's perspective as Davenport and Wessel dissect the world of cognitive technology, and read more about this episode on Office Blogs.

There have been an increasing number of reports about the rapidly developing world of AI, where computers can learn to use big data independently. Most recently, Google yesterday announced it would begin exploring whether automated machines are capable of creativity and producing original artwork and music. Many people's gut reaction to this is that nothing, not even the innately human ability to create, is safe from the machines. It makes me think of the "infinite monkey theorem": give a monkey a typewriter and an infinite amount of time and eventually, it will type something that makes sense. So, if we give computers (AI) huge amounts of big data and time, they will eventually develop creative ideas that can compete with the likes being dreamt up by skilled creatives and brilliant agencies all over the world?

Looking after helpless babies may have been the key in humans developing bigger brains and ultimately helped us become smarter. A new study suggests the demands of intensive child-rearing set in motion a runaway feedback loop, acting as a driver for human intelligence. Researchers claim that intelligent parents give rise to larger brained babies, which need to be born earlier in order to pass safely through the birth canal and survive. Researchers suggest the demands of intensive child-rearing set in motion a runaway feedback loop, acting as a driver for human intelligence. Premature babies are more dependent at birth, so need more intelligent parents to take care of them and so on, all of which has led to human level intelligence.

Magenta will use TensorFlow, the machine-learning engine that Google built and opened up to the public at the end of 2015, to determine whether AI systems can be trained to create original pieces of music, art, or video. Much in the same way that Google opened up TensorFlow, Eck said Magenta will make available its tools to the public. Roberts also showed off a simple digital synthesizer program he'd been working on, where an AI could listen to notes that he played, and play back a more complete melody from those notes: The goal of the project, Eck suggested, could well be to create a system that could give a listener "musical chills" with entirely new pieces of music, on a regular basis, as they sit listening to computer-generated music from the comfort of their couch at home. Eck said the inspiration for Magenta had come from other Google Brain projects, like Google DeepDream, where AI systems were trained on image databases to "fill in the gaps" in pictures, trying to find structures in images that weren't necessarily present in the images themselves.

Magenta will use TensorFlow, the machine-learning engine that Google built and opened up to the public at the end of 2015, to determine whether AI systems can be trained to create original pieces of music, art, or video. Much in the same way that Google opened up TensorFlow, Eck said Magenta will make available its tools to the public. Roberts also showed off a simple digital synthesizer program he'd been working on, where an AI could listen to notes that he played, and play back a more complete melody from those notes: The goal of the project, Eck suggested, could well be to create a system that could give a listener "musical chills" with entirely new pieces of music, on a regular basis, as they sit listening to computer-generated music from the comfort of their couch at home. Eck said the inspiration for Magenta had come from other Google Brain projects, like Google DeepDream, where AI systems were trained on image databases to "fill in the gaps" in pictures, trying to find structures in images that weren't necessarily present in the images themselves.

Google wants to put the art back in artificial intelligence. During the last session at Moogfest, a four-day music and technology festival, in Durham, North Carolina, Douglas Eck, a researcher on Google Brain, the company's artificial-intelligence research project, outlined a new group that's going to focus on figuring out if computers can truly create. The group, called Magenta, will launch more publicly at the start of June, but attendees at Moogfest were given a taste of what it's going to be working on. Magenta will use TensorFlow, the machine-learning engine that Google built and opened up to the public at the end of 2015, to determine whether AI systems can be trained to create original pieces of music, art, or video. This is no simple task, given that even the most advanced artificially intelligent systems have enough trouble copying the styles of existing artists and musicians, let alone coming up with entirely new ideas themselves.

Donald Trump has challenged the new London mayor to an IQ test after Sadiq Khan said he was ignorant. Mr Khan was responding to Mr Trump's stance on Muslims that they should banned from entering America. Speaking in an interview with Piers Morgan on Good Morning Britain, he also warned he may not have a "very good relationship" with UK Prime Minister David Cameron if he wins the US presidency.

And pretty soon, they'll come for us. That seems to be the story today, whether from Hollywood or in breathless articles in popular tech magazines about artificial intelligence and nanotechnology. Some of the biggest names in tech are coming to TNW Conference in Amsterdam this May. In a world where machines can learn, once humans push the "on" button, there's no stopping our robot overlords, right? When machines become more intelligent, humans are freed to become more creative.