Let's skip to the chase: Self-driving cars are going to be The Next Big Thing (tm). Here's how you can make big money from this revolution, no matter which carmaker or technology platform comes out on top. Since Alphabet started leading this futuristic idea out into the mainstream, the car industry itself has turned in that direction. Name a carmaker, and I bet the company has developed at least the embryo of a self-driving platform. You can already find traces of this upcoming revolution inside current cars, powering automatic parallel-parking systems or highway-speed autopilots.

It's a strong contender for the geekiest video ever made: a close-up of a smartphone with line upon line of numbers and symbols scrolling down the screen. But when visitors stop by Nicola Marzari's office, which overlooks Lake Geneva, he can hardly wait to show it off. "It's from 2010," he says, "and this is my cellphone calculating the electronic structure of silicon in real time!" Even back then, explains Marzari, a physicist at the Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland, his now-ancient handset took just 40 seconds to carry out quantum-mechanical calculations that once took many hours on a supercomputer -- a feat that not only shows how far such computational methods have come in the past decade or so, but also demonstrates their potential for transforming the way materials science is done in the future. Instead of continuing to develop new materials the old-fashioned way -- stumbling across them by luck, then painstakingly measuring their properties in the laboratory -- Marzari and like-minded researchers are using computer modelling and machine-learning techniques to generate libraries of candidate materials by the tens of thousands.

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In a world of smart machines that can drive cars, beat humans at chess, advise on medical diagnoses and perform a host of other tasks, imagine the next likely step as a smart machine as a people manager. As business investment in smart machines grows, "robobosses" will increasingly make workplace decisions that previously could only have been made by human managers. By 2018, more than three million workers globally will be supervised by robobosses, according to Frances Karamouzis, vice president and distinguished analyst at Gartner. These smart machine managers will look at data derived from worker performance in new ways because of their ability to dispassionately discover previously undetected relationships and correlations, test their hypotheses, and then elevate them to production status. "Supervisor duties are increasingly shifting toward monitoring worker accomplishments through measurements of performance that are directly tied to output and customer evaluation," explained Ms. Karamouzis.

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If you've debating building a DIY prototype of the Echo so you don't have to pay a hefty 180 for the convenience to use Amazon's voice assistant Alexa, Lexi might just be the app you've been looking for. Available for iOS, Lexi lets you speak to Alexa straight through your phone – and without the need for any third-party gadgets like the Echo or Triby. Our biggest ever edition of TNW Conference is fast approaching! What's particularly nifty about Lexi is that the app supports a wide range of the Echo's functionalities like placing orders, remotely controlling your smart home devices as well as install and turn skills from the Alexa App. Additionally, Lexi also allows users to ask Alexa for information about the the latest news, weather, movies or directions to the closest hospital, for instance.

Driverless cars, drones and a proposed first commercial spaceport for the UK will feature in the Queen's speech.

Driverless cars, drones and a proposed first commercial spaceport for the UK will feature in the Queen's speech. The Department for Transport has said such cutting-edge technologies are crucial to the country's economy and that its proposals, to be unveiled on Wednesday, will help deliver jobs. Legislation will be introduced to enable driverless cars, already trialled in the UK, to be insured under ordinary policies. The government has said that the spaceport will be constructed by the end of the current parliament. The self-driving car market is currently growing at 16% a year and could be worth up to 900bn worldwide by 2025, while the port is part of the government's plan to raise revenues in the space sector from 12bn to 40bn by 2030, which would mean capturing about 10% of the sector worldwide.

This is my first blog here; my name is Fen. I was with MathWorks for almost 15 years. MathWorks is the creator of MATLAB andI built some of the modules in MATLAB. In the past 5 years, I led a team of consulting engineer to build data analytics solution for customers in APAC. In recent years, commercial banks and asset management companies in China started to build more quantitative models to measure credit risk. With our help, some of them chose to use MATLAB statistics and machine learning modules to build credit risk models; I would like to share a common approach I used on credit risk projects.

Right on cue, this past week heralded in an announcement of OpenAI, a new non-profit started by a number of tech luminaries to spearhead AI research that is publicly accessible. The motivation is that apparently these scions of capitalism lose faith in Adam Smith's invisible hand when it comes to AI R&D. Musk continues to promote the idea that AI will be humanity's largest existential threat. Challenging this view, the HBR asks if "OpenAI [is] Solving the Wrong Problem", pointing to the implied lack of trust in capitalism. This is similar to my own parry: that the biggest existential threat to humanity is humanity.