AI is everywhere, from movies and media coverage through to fashion statements at awards ceremonies (cue Zayn Malik's robot arms). We're being told AI presents a scary future where robots and machines take over the world - if you haven't already then watch Ex Machina and you'll get the picture - that we're entering a future where machines are much cleverer than us, take all our jobs and basically make us humans completely redundant. But does the advent of AI really spell the end of humanity? It's much less about the death of humanity and more about making humans better than we could ever be without technology. I was lucky enough to attend the inaugural'AI Summit, London' to learn all about how AI is affecting business and how to transform what we do in order to intelligently use machines' super-powers.

Google is extending its push into artificial intelligence with a new European research centre dedicated to advancing the technology. Based in Zurich, the team will focus on three areas - machine learning, natural language understanding and computer perception. Emmanuel Mogenet, who will head the unit, said much of the research would be on teaching machines common sense. There was, he said, "no limit on how big I grow the team". "We are very ambitious in terms of growth. The only limiting factor will be talent," he told journalists gathered in Zurich to hear more about Google's AI plans.

Driverless trucks will be safer and cheaper than their human-controlled counterparts, but that doesn't mean America's 3.5 million professional truck drivers are giving up to the machines without a fight. Across the US, truckers collectively haul more than 10bn tons of freight each year, but it's a tough job – the hours are long and lonely, the pay is low and the lifestyle is sedentary. "Picture the taxi drivers around the world acting in response to Uber," says Andy Stern, the former former president of the Service Employees International Union, referring to protests and violence that erupted in many cities as the 62.5bn Silicon Valley on-demand ride-hailing firm challenged conventional, regulated taxis. "Truck drivers will follow a similar pattern," says Stern. "There will be disruption in different places. You can imagine people ringing state capitals with their trucks."

Navid Khonsari wants to make honest video games. Not just games that say something about the world, but games that draw on real events and bring a documentary approach to an interactive experience. "The 1979 Iranian Revolution is a defining moment in the twentieth century," he says. "The rifts it started define what the Middle East is now and what the West is. The moral decisions: who do you protect, who don't you protect?"

Pendo is bringing the attention to what really matters today: data liquidity, which Pendo defines as liberating data by sophisticated matching and search providing for API's and open standards. Pendo is pleased to announce Version 3.1 of the Pendo Data Platform (PDP), surfacing new abilities in the user-friendly web UI incorporating Artificial Intelligence (AI) attacking the battle of aggregation and intelligent machine learning in gathering of Excel spreadsheets. "AI is a magnitude more complex than machine learning," states Pamela Pecs Cytron, CEO of Pendo Systems. When you model the mind you can create systems capable of learning everything about the world. It is a much smaller task, since the world is very large and changes occur behind your back, which means World Models will become obsolete the moment they are made.

Google's Zurich offices will now be home to a dedicated machine learning team. Google Translate, Google Photo Search, Google Smart Reply -- it made its name in search, but Google is becoming a global powerhouse in machine learning, and it's not stopping any time soon. The company that calls Mountain View, California, home is now getting a firmer foothold in Europe, announcing the opening of a new Google Research group, based out of the company's Zurich offices. The research group will be dedicated to machine learning (ML) and exploring how computer intelligence can be used to replicate processes performed quickly by the human brain. Think image recognition, understanding natural language and creating neural networks that can learn tasks and improve over time.

Whether you're reading this article on a smartphone, tablet or laptop, chances are the device in front of you contains components from at least six countries spanning three or more continents. Its sleek exterior belies the complicated and intricate set of internal parts that only a global supply chain can provide. Over the past century, finished products made in a single country have become increasingly hard to find as globalization -- weighted a term as it is -- has stretched supply chains to the ends of the Earth. Now, anything from planes, trains and automobiles to computers, cellphones and appliances can trace its hundreds of pieces to nearly as many companies around the world. And its assembly might take place in a different country still.

Opining about the future of AI at the recent Brilliant Minds event at Symposium Stockholm, Google Executive Chairman Eric Schmidt rejected warnings from Elon Musk and Stephen Hawking about the dangers of AI, saying, "In the case of Stephen Hawking, although a brilliant man, he's not a computer scientist. Elon is also a brilliant man, though he too is a physicist, not a computer scientist." This absurd dismissal of Musk and Hawking was in response to an absurd question about "the possibility of an artificial superintelligence trying to destroy mankind in the near future." Schmidt went on to say, "It's a movie. The state of the earth currently does not support any of these scenarios."

Blizzard, the developer behind games like Hearthstone, World of Warcraft and Overwatch, has confirmed it is having issues with its Battle.net Reports of players not being able to log in to Battle.net Blizzard's customer service has since confirmed the problem. We're currently investigating an issue affecting our authentication servers, which may result in failed or slow login attempts. It is unclear if the problem arose because of a technical issue or if it was caused by a malicious attack.

Putting it all together, the following example shows the equity curve representing cumulative returns of the model strategy, with all values expressed in dollars. To increase the precision of forecasted values, instead of a standard probability of 0.5 (50 percent) we choose a higher threshold value, to be more confident that the model predicts an Up day. As we can see by the chart above, the equity curve is much better than before (Sharpe is 6.5 instead of 3.5), even with fewer round turns. From this point on, we will consider all next models with a threshold higher than a standard value. We can apply our research, as we did previously with the decision tree, into a Logistic Classifier model.