This was the title of a very popular book published in 2012, featuring several job interview questions (brain teasers) asked by Google's hiring managers to candidates. They apparently dropped all these questions, as they found out that they were not good indicators of career success. Do you think you are smart enough to work for Google? I had one phone interview with Google long ago, and was rejected right away. The interviewer was just focused on very technical details, and spent all her time arguing about Lasso regression, and was clearly looking for a specialist, dismissing people with a broad range of skills and non-standard approach to solving tech problems.

No longer the exclusive domain of data-reliant businesses like Google, Microsoft, and Amazon, machine learning has been making its way into the masses as an essential approach to data. Today, machine learning is understood and accepted by a more mainstream audience, and has become a measurable driver for big business benefits both on and offline. There are three key reasons why machine learning has become one of the top 10 strategic technology trends that will shape digital business opportunities through 2020. First, the volume of data companies now collect is so massive that many companies struggle to make sense of it and fail to take advantage of it. Second, the computing power required to process these exploding data assets, previously exclusive to the Googles of this world, is now widely available to smaller businesses.

God moves the player, he in turn the piece. But what god beyond God begins the round Of dust and time and sleep and agony? As I write this column, a computer program called AlphaGo is beating the professional go player Lee Sedol at a highly publicized tournament in Seoul. Sedol is among the top three players in the world, having attained the highest rank of nine dan. The victory over one of humanity's best representatives of this very old and traditional board game is a crushing 3 to 1, with one more game to come.

With a photo of Zuckerberg and his bodyguards jogging past Tian'anmen Square in Beijing on a heavily polluted day Friday, Zuckerberg announced his arrival and sparked heated online discussion in the process. He continued to grab public attention as he met and had a dialogue with Chinese tech mogul Jack Ma, the chairman of the Chinese tech mammoth Alibaba Group, at the China Development Forum, a state-sponsored forum. What did the two discuss? Have a look with AllChinaTech. On innovation When asked about his opinion of China's next five-year development plan, which highlights innovation, Zuckerberg talked about innovation being dedicated to solving long-term problems.

Returning to Short of the Week for a third time, creative studio Factory Fifteen serve-up this enticing science-fiction short that centres around a worker in a futuristic car manufacturing plant as he starts to experience problems with the artificial intelligence that runs the production line. A 4-minute introduction to a world the talented team are currently developing into a larger project, ANA dazzles with its impressive aesthetic but really hooks its audience in with its intriguing narrative take on the singularity. Aiming to put a new twist on a popular science-fiction storyline and make their concept more relatable by showing how such a situation could affect the "ordinary" man, ANA explores one vignette from a world where technology is rising-up against those that created it. Produced as a way to entice an audience into the universe they are currently evolving into a longer piece, Factory Fifteen's Paul Nicholls spoke to Short of the Week about the aims of the project: "We had multiple ambitions with the film. A short-term ambition was to create a really high-end piece of drama, mixing performance and VFX. For us the design of the world (Jonah, Chupan Chupai, The Bug) is as important as the performance in our projects, to create a believable world. Working with Richard Brake (Game Of Thrones, Batman Begins, Doom), we knew we had the performance down, it was then up to us and the rest of the team to deliver the rest. The long-term goal was to develop this as a teaser to a larger project, which is currently in development".

Japan is spending more than 1 billion to resurrect the area around the wrecked Fukushima No. 1 nuclear plant as the country's "Innovation Coast." The region is trying to capitalize on technology developed in the five years spent cleaning up the worst nuclear disaster since Chernobyl, including Hitachi Ltd. and Toshiba Corp. robots that slither like snakes or cruise through radioactive water like speed boats to investigate the flooded reactors. Fukushima Prefecture -- like Beirut or post-bankruptcy Detroit -- is ripe to develop a strong tech community, according to Samhir Vasdev, an innovation consultant at the World Bank. "To lead the future from Fukushima, we must overcome our failures," Fukushima Gov. Masao Uchibori said at the Foreign Press Center in Tokyo last month. "Creating new industries will attract new people, which will be vital to revitalizing the region."

Singapore-basedAPIs - Helping to Make Tech Invisible. Read more ... » startup is making a buzz in the broadcast and advertising sector with a promising technologyTaiwanese entrepreneur selected as'young global leader'. Read more ... » across TV, Radio, Digital Signage, Cinema, Mobile, WebHow AI informs the customer service experience. Read more ... » and connected TV. Launched in 2014, EYWAMEDIA, enables broadcasters and advertisers to enable audience consumption patterns, engage them real-time, create a content-ad strategy and finally create attribution, cross targeting and retargeting revenues using multiscreen technology.

In 1957, Herbert A. Simon, a pioneer in artificial intelligence and later a Nobel Laureate in economics, predicted that in 10 years a computer would surpass humans in what was then regarded as the premier battleground of wits: the game of chess. Though the project took four times as long as he expected, in 1997 my colleagues and I at IBM fielded a computer called Deep Blue that defeated Garry Kasparov, the highest-rated chess player ever. You might have thought that we had finally put the question to rest--but no. Many people argued that we had tailored our methods to solve just this one, narrowly defined problem, and that it could never handle the manifold tasks that serve as better touchstones for human intelligence. These critics pointed to weiqi, an ancient Chinese board game, better known in the West by the Japanese name of Go, whose combinatorial complexity was many orders of magnitude greater than that of chess. Noting that the best Go programs could not even handle the typical novice, they predicted that none would ever trouble the very best players.

When HP Labs research scientist Lei Liu was a child in XianYang, China, he read a newspaper article detailing how HP originated in a garage in Palo Alto. "That inspired me," he recalls. "Silicon Valley was clearly somewhere where you could have a dream, incubate it, and see it come true." Today, Lei is living that dream as a member of HP's Print and 3D Lab. After studying for his B.S. and M.S. in computer science at the Beijing University of Posts and Telecommunications, he moved to Michigan State University where he received his Ph.D. in Computer Science and Engineering, focusing on data mining and machine learning.

Small and medium sized businesses are being targeted by IBM and MasterCard as they look to bring big data analytics insights to better understand their markets and consumers. A partnership has been formed by the two companies that sees MasterCard integrate IBM Watson Analytics into its platform, along with its own anonymised transaction data that is gathered through the payment company's Local Market Intelligence. This combination will bring artificial intelligence to its payments platform. The aim is to be able to offer SMBs insights on revenue, market share, customer demographics and competitors in a particular location and across multiple locations. The problem being tackled is that smaller merchants often don't have the resources to maximise data insights.