Many people wish they could predict what will happen next in the world. Many predictions are assigned to the waste bin of time very quickly. With hindsight, unforeseen factors come into play that changed their'models'. It is because there were so many factors involved to predict. The ability of models to analyse and interpret means technology was not able to process, analyse and predict with a high degree of success.

Last month, Mark Clattenburg, who is generally regarded as one of the finest referees in professional soccer, left England's Premier League for a better-paying position in Saudi Arabia. Plenty of famous players have chosen riches over prestige and joined less established leagues in Asia and the Middle East. But this was one of the first times that a referee of Clattenburg's stature and prominence had left in his prime. Just last year, he was selected to referee two of the most important matches on Earth: the finals of the Champions League, in May, and then the European Championship, two months later--plum gigs that testified to his skill. To commemorate the occasion, he had the feat tattooed on his arm--a testament to his knack for preening.

Elon Musk, the genius founder of Tesla and SpaceX, recently predicted computers and robots are likely to take over the human workforce, and that the government will need to provide a salary--also known as universal basic income (UBI)--to keep society afloat. While I'm a tech guy and won't proclaim to know the economic rationale behind UBI, I do know this: When Elon Musk speaks, I listen. In fact, Musk is not alone. A recent study from Oxford University estimates that 47 percent of U.S. jobs could be made obsolete in the next two decades as automation and deep learning continue to advance. Even highly technical jobs are in danger of being overtaken by AI.

NEW YORK, LONDON & HONG KONG--(BUSINESS WIRE)--In the next stage of artificial intelligence adoption, banks will use AI to help understand the intentions and emotions of customers and enable better interactions, according to a new report from Accenture (NYSE:ACN). The report, Accenture Banking Technology Vision 2017, draws on the analysis of an advisory board of more than two dozen individuals, interviews with technology luminaries and industry experts, and results of a survey of more than 600 bankers. According to the report, more than three-quarters (78 percent) of bankers believe that AI will enable simpler user interfaces that will help banks create a more human-like customer experience. In addition, four out of five respondents (79 percent) believe that AI will revolutionize the way banks gather information and interact with customers, and three-quarters (76 percent) believe that within three years, banks will deploy AI as their primary method for interacting with customers. "Consumers' diverse needs and priorities are forcing financial services firms to redefine how they interact with them to determine the best products and services to meet individuals' needs," said Alan McIntyre, a senior managing director at Accenture and head of the company's Banking practice.

The public cloud division of Chinese ecommerce company Alibaba Group today is introducing new artificial-intelligence (AI) services targeting two specific industries, health care and manufacturing. The Alibaba Cloud is touting an ET Medical Brain and an ET Industrial Brain, each of which encompasses a number of services. The latter will give companies tools for monitoring the production process, improving energy efficiency, and predicting when maintenance will be needed. Also today, Alibaba is announcing the launch of version 2.0 of its PAI machine learning service. Alibaba introduced the original PAI in 2015.

Spectral clustering is a popular and versatile clustering method based on a relaxation of the normalised graph cut objective. Despite its popularity, however, there is no single agreed upon method for tuning the important scaling parameter, nor for determining automatically the number of clusters to extract. Popular heuristics exist, but corresponding theoretical results are scarce. In this paper we investigate the asymptotic value of the normalised cut for an increasing sample assumed to arise from an underlying probability distribution, and based on this result provide recommendations for improving spectral clustering methodology. A corresponding algorithm is proposed with strong empirical performance.

After numerous rejections, Apple finally decided to allow a drone-strike notification app back on the App Store Tuesday after it was pulled in 2015 -- and then took it down again hours later. The app called Metadata, created by Josh Begley from The Intercept, sends a notification every time a U.S. drone strike is reported in the news. Begley, created the app five years ago and called it Drone . He said Tuesday in an article for The Intercept Apple rejected the app three times for "excessively objectionable or crude content." However, the app didn't include graphic images or video and only aggregated news about drone strikes. "If anything about the app is'excessively objectionable or crude,' perhaps it's the airstrikes themselves," wrote Begley.

Are public services ready to exploit artificial intelligence?

Can artificial intelligence (AI) help address global challenges such as poverty, hunger, health, education, equality and the protection of our environment? The International Telecommunications Union (ITU) is hosting the AI for Good Global Summit in Geneva this June. The summit, to be held in partnership with UN agencies, including OHCHR, UNESCO, UNICEF, UNICRI, UNIDO, UNITAR and UN Global Pulse, will evaluate opportunities presented by AI and how it can benefit humanity. It seeks to convene representatives of government, industry, UN agencies, civil society, and the AI research community to explore the latest developments in AI and their implications for regulation, ethics and security and privacy. Breakout sessions will invite participants to collaborate and propose strategies for the development of AI applications and systems to promote sustainable living, reduce poverty and deliver citizen-centric public services.

UberEats, the food delivery service introduced by ride sharing giant Uber, will expand across more than 40 towns and cities in the UK before the end of the year as it continues to compete with rivals Deliveroo and JustEat. Uber, whose car-hailing app has caused upheaval in the taxi industry, disrupted the takeaway market in London when it launched UberEats in June last year. The app is now also available in Manchester and Birmingham and more than 1 million customers have downloaded it since its launch, according to the company. "It's clear from the response we've seen in London, Manchester and Birmingham that there's huge appetite from people to order food at the touch of a button from their favourite local restaurants," Jambu Palaniappan, regional manager for Europe, Middle East and Africa at UberEats, said. "We're really excited about the future of the business which is why we're investing heavily in an ambitious plan to launch the app in at least 40 towns and cities in the UK by the end of the year," he added.