Perhaps the Terminator/Skynet concept of world domination isn't as far-fetched as one might assume. Today, robots are doing everything from service industry jobs to writing and almost winning literary prizes. The formidable advancements in artificial intelligence (AI) have prompted not just experts, but the public, to start wondering how we can protect ourselves from robots taking over. Wouldn't robots, with their ever-advancing technology that moves closer and closer to near-human intelligence and consciousness, soon need protection from humans too? This is a question that mathematician Marcus du Sautoy, from the University of Oxford, is asking. As we move closer to a reality of robots equipped with advanced AI, shouldn't they be given moral and legal protection that has, until now, been granted freely to humans?

Animals have evolved sophisticated ways of processing sensory data to make sense of their surroundings. Now, robotics researchers are drawing inspiration from biological processes to improve the way machines handle information, perceive their surroundings, and react to stimuli. While the human brain is often seen as the ultimate model for robotic intelligence, scientists are also learning plenty from the neurobiological structures and processes of more humble creatures, from fruit flies to rodents. Take the fruit fly – or rather, the maggot that grows up to be a fruit fly. Drosophila fruit fly larvae have fewer than 10 000 neurons – compared to about 100 billion in the human brain.

Just like that, Computex 2016 has come to an end. As in previous years, the show kicked off with ASUS' big keynote presentation, but this time it wasn't just laptops, tablets and smartphones -- the company also unveiled its first home robot, Zenbo. We met up with Chairman Jonney Shih who gave us an exclusive demo of this 599 machine, so do check out our interview wit him. We also saw Intel launch its first 10-core desktop processor geared towards hardcore gamers, followed by yet another exclusive interview -- this time with the company's new consumer head, Navin Shenoy.

Why did I bother writing this? Well, here is one of the most trivial yet life-changing insights and worldly wisdoms from my former professor that has become my mantra ever since: "If you have to do this task more than 3 times just write a script and automate it." By now, you may have already started wondering about this blog. I haven't written anything for more than half a year! Okay, musings on social network platforms aside, that's not true: I have written something -- about 400 pages to be precise. This has really been quite a journey for me lately. And regarding the frequently asked question "Why did you choose Python for Machine Learning?"

On June 6, 2015, Kalief Browder took his own life at his home, in the Bronx. He was twenty-two years old. He had been released from Rikers Island two years earlier, ending an ordeal that had begun on a spring night in 2010, when he had been arrested for robbery, at sixteen. He spent the next three years in jail trying to prove his innocence, and, for about two of those years, he was held in solitary confinement, where he attempted suicide several times. The charges against him were eventually dropped.

Researchers have been attempting to make robots and artificial intelligence more creative over the past months – from drawing to writing quasi-dystopian poetry. Today we get another piece of work from a Google machine: a 90-second melody. It's the result of Google's Project Magenta, which aims to use machine learning to create music and art, and bridge the communities between those interests with coders and researchers. Magenta is built on top of its TensorFlow system, and you can find the open-sourced materials through its Github. The team says the challenge is not to just get Google machines to create art, but to be able to tell stories from it. After all, that's what artists do with their crafts: to compose a narrative into their work then share them with the world.

Spotify is a household name, with more paying users than any other music-streaming service in the world. But it doesn't make a penny. Those 30 million paid subscribers help it rake in almost half the revenues in the global industry. But most of the money goes to record labels and artists, while the privately owned Swedish company faces growing competition from Apple with its deep pockets and massive iPhone user base. To reduce its dependence on labels and stand apart from rivals, Spotify is broadening beyond its music library.

Artificial intelligence developed by a group of Australian research teams has replicated a complex experiment which won the Nobel Prize for Physics in 2001. The intelligent machine learned how to run a Bose-Einstein condensation – isolating an extremely cold gas inside a beam of laser light – in under an hour, something the team "didn't expect". Results have been published in the Scientific Reports journal. The algorithm has also been uploaded to GitHub for other researchers working on "quantum experiments". "A simple computer program would have taken longer than the age of the universe to run through all the combinations and work this out," said Paul Wigley, co-lead researcher of the study and professor at the School of Physics and Engineering at the Australian National University.

The technology behind Alexa, the voice inside Amazon's Echo speaker, could become Amazon's fourth business pillar, alongside retail marketplace, Amazon Prime, and Amazon Web Services. Amazon has more than 1,000 people working on artificial intelligence and third-party apps that people have built using the company's SDK, Bezos, the founder and CEO of the company, said at Recode's Code Conference Tuesday. During an interview with Walt Mossberg, he said the company licenses the technology to others so they can embed it in an app or device. There's also a program that allows companies to build apps that teaches Alexa new skills. Bezos called artificial intelligence, natural language processing and machine learning intelligence "gigantic" and says it's probably difficult to "overstate the impact it will have on society over the next 20 years."

This list of hand-picked leaders was compiled by Wojtek Aleksander, from GetResponse.com. Other bigger lists (sometimes created by robots) can be found here and are usually based on your Klout score, which in my opinion is not accurate. The list below is truly original and I would even add, somewhat unexpected, as you won't find Bernard Marr, Kirk Borne and other well known gurus. Just in case you're wondering, @FILWD stands for Fell In Love With Data, which happens to be the name of Enrico Bertini's blog. While the Assistant Professor at NYU doesn't talk much on Twitter himself, he uses the platform very effectively to share news and insights about data visualizations and adds his highly-valued opinions.