Androids are robots or artificial people that are meant to resemble humans. They are meant to look like us and behave like us and the technology is advancing every day. In the Star Wars galaxy Droids are a part of everyday life. They are mechanical beings that possess artificial intelligence and are used for all kinds of purposes from communicating with vaporators to waging galactic warfare. At the time the Death Star was attacking the Rebel Base on Yavin, Droids had been in use for over 5000 years.

Deadline day has arrived for Sky, which is unlikely to reach a deal with Discovery Communications over its portfolio of 13 channels. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar.

With the advent of photography, a tiny fraction of 19th-century scientists believed they could develop methods of accurately identifying criminals by their facial features. While their hypotheses were eventually discredited, new artificial intelligence technology suggests their claims might've been valid after all. Xiaolin Wu and Xi Zhang from Shanghai Jiao Tong University in China have resurrected this facial recognition tradition and built a neural network that can supposedly pick out criminals by simply looking at their faces. Gary Vaynerchuk was so impressed with TNW Conference 2016 he paused mid-talk to applaud us. To accomplish this, the researchers used an array of machine-vision algorithms to examine a series of facial juxtapositions between photos of criminals and non-criminals with the goal of finding out whether a neural network can reliably tell them apart.

Whilst we may trust Netflix to serve us the content we want, or for Google Maps to predict our routes, or for Spotify to recommend us some songs we may like, when we get to work we revert to manual processes and guesswork." They've been using their crowdsourced – but anonymized – data to provide predictive analytics on their AI platform for more than a decade. I'm not that impressed with predictive at darlings Netflix and Spotify. Meanwhile, some enterprises are getting better at predictive. But what Elkinson says rings true. Consumer tech is forcing the issue (miss you, Alexa, I'll be home soon!). Elkington's got a terrific BS detector for AI blowharding. Barb takes AI in a different but equally exposed direction in The value AI brings to marketing. She argues that AI is set to transform marketing – and marketing isn't ready. Demandware's survey found a monster gap between the impact of AI on marketing and what marketers are skilled to handle. Barb talked to Demandware about the story behind the numbers. One key point: the ability to differentiate on the data science and/or algorithms looks to be fleeting – and will last only until tools either commoditize or become mature. The real differentiator, says Barb, will be the data itself – and that data is hard to come by. As she says: "Whoever can get the most and right data is going to win." Yup – I would only add: "Whoever gets the most opt-in data…" It's about your community willingly sharing data for value. If you get that data at the flea market, or through terms of service smoke/mirrors, you're going to lose that edge – as soon as customers figure out you're just another data panhandler shilling their vitals. Jon's grab bag – Stuart wants to know if the UK government is leaving it to Microsoft to handle the digital skllls crisis. When you see "We have painted ourselves into a corner," and "We are what we are," you know Stuart isn't exactly thrilled. Michelle Swan makes her diginomica debut writing about a professional services firm (in the Salesforce ecosystem) that keeps employee turnover to five percent using the weirdest, wackiest metric you could ever think of: employee happiness. It's also about using data to intervene – in a good way – before things go too far down the ol' crudder. Get your media fix with Stuart's The BBC – wanting to be Netflix? I'm with Stuart: don't try too hard to be Netflix. Netflix isn't exactly the master of great original programming either – from that standpoint they are a sub-par HBO. Finally, welcome ServiceNow to diginomica – good timing given the "servitization" of darned near everything. More somber, Ryan Avent's The Wealth of Humans describes the current era of automation and it's threat to human-labor, kicking up a vision of future thick with a jobless miasma."

I tend to post related books with nearly every blog post. Here are some of the most popular books from all of the articles on this AI blog. If you know a great book I should feature, please get in touch.

Artificial intelligence is the real deal for seemingly every company out there. The big names, including Apple, IBM, Microsoft and Google, are investing large sums to get a competitive advantage on AI. The TV news magazine "60 Minutes" aired a lengthy profile on the status and potential of artificial intelligence, including having their correspondent interview a robot. Should your organization strike up a deeper conversation on AI? Gartner analyst Tom Austin looks at whether smart machines are the smart choice for you.

The advocates of machine learning are known to be a fiercely contentious lot, each asserting that its own approach is superior to all others, and that any evidence adduced to the contrary is propaganda, fake news of the worst sort, stemming from jealous advocates of inferior approaches. The closest approximation to the internecine warfare of the machine learning field is the human learning field, in which advocates of public, government-run and union-staffed schools exchange harsh words with advocates of charter schools, with a level of invective and passion that indicates that someone is strongly in favor of hopelessly uneducated machines and/or humans.

A true genius, Alan Turing was played brilliantly by Benedict Cumberbatch inThe Imitation Game -- the movie about his life and role in ending WWII -- which introduced him to a whole new generation of admirers. It was Turing who predicted machine learning would play a big role in modern computing in his article the "Turing Test," way back in 1950. Indeed, Turing was way ahead of his time, which was a major theme in the movie, but now the world has caught up. The major advancements in readily accessible computing power, the quantity of data available, and algorithms that truly make machine learning possible are driving our ability to process data, analyze it, and act on it in ways that would make Mr. Turing proud. These advances have completely changed the machine learning game: The fundamental concept remains the same, but now it's far more sophisticated, efficient, and easily deployable. Beyond the big headline-grabbing examples of how machine learning will impact our lives -- such as through driverless cars -- it has exciting potential to put an end to the bland and sometimes ineffective customer experiences that many retailers are delivering to their customers.

Winona Ryder ended up becoming the most memorable attendant of the Screen Actors Guild Awards on Sunday after her hilarious series of expressive reactions to actor David Harbour's speech swept the internet. The actress, who stars alongside David in hit Netflix series "Stranger Things," could not control her wide-reaching range of emotions when her co-star chose to deliver a rousing speech as the cast were given the award for Best Ensemble Drama. In his speech, the actor appeared to take a jab of President Donald Trump and made his thoughts clear about the current political climate in the United States of America. Winona, 45, seemed somewhat unprepared for the actor's powerful and moving speech and led viewers on the journey of her reactions with increasingly dramatic facial expressions. The star jumped from surprise, confusion, understanding, shock and delight leading to viewers claiming she was basically a "human gif factory."

We have seen a fast growing interest in current activities around AI startups and research in the last couple of months. Headlines like "2016 was the year AI came of age", "AI was everywhere in 2016", and "The Great A.I. Awakening" were all over the media in the ending weeks of 2016 and we are curious about what 2017 will bring. I found particularly interesting that the current applications, future potential, and possible risks even attracted interest beyond the tech community through TV shows like Westworld, coverage on traditional media and even Obama's farewell address. Sadly, for many of us tech enthusiasts here in Europe, we sometimes feel like there is way less movement on this side of the Atlantic than in the Silicon Valley. However, with major acquisitions like DeepMind, Magic Pony Technology, Movidius, Vision Factory, and Dark Blue Labs, Europe has shown that it is actually leading the way in AI and machine learning.