Artificial intelligence could add 630 billion pounds ($837 billion) to the U.K. economy by 2035, a government-commissioned report said. The economic boost would come from a combination of more personalized services, improvements in health care and adopting machine learning to find ways to use resources more efficiently, according to the report. But to see that gain, the U.K. needs to do more to encourage businesses to deploy machine learning and artificial intelligence and ensure the U.K. maintains a leadership position in AI research and development. "We have a choice," the report's authors, Wendy Hall, a professor of computer science at the University of Southampton, and Jerome Pesenti, chief executive officer of health care research startup BenevolentAI, wrote. "The U.K. could stay among the world leaders in AI in the future, or allow other countries to dominate."

PARACHINAR/PESHAWAR, Pakistan (Reuters) - A suspected U.S. drone strike killed five people on the mountainous Pakistan-Afghanistan border, government and militant sources said on Tuesday, days after a Canadian-American couple held hostage by the Taliban were freed from the same area.

Dubai: The UAE Artificial Intelligence strategy was launched to boost government performance, the rate of accomplishing achievements. The strategy will create a highly productive innovative environment by investing in advanced technologies and AI tools that will be implemented in all fields of work. The strategy was launched on Monday by His Highness Shaikh Mohammad Bin Rashid Al Maktoum, Vice-President and Prime Minister of the UAE and Ruler of Dubai. The UAE AI strategy will seek to invest all capabilities in an ideal way, in addition to utilising resources, human and financial capabilities in a constructive manner that will quicken the execution of future programmes and development projects. Launching the strategy, Shaikh Mohammad said: "The UAE Centennial begins now, with the launch of massive projects such as the AI strategy to set up the basis for the coming phase.

KAMPALA – As the toll rises above 300 from one of the world's deadliest attacks in years, the al-Shabab extremist group has sent a powerful signal that the international focus on extremism can't afford to overlook the African continent. Saturday's truck bombing on a crowded Mogadishu street showed that al-Shabab, targeted for years by U.S. airstrikes and tens of thousands of African Union forces, has once again made a deadly comeback. Pushed from Somalia's capital in recent years, al-Shabab has retreated mostly to rural areas of the country's south, where the fragile central government can't assert its authority and local fiefdoms are in charge. From there, Africa's deadliest Islamic extremist group has continued to plan guerrilla-style attacks like Saturday's truck bombing in the capital, Mogadishu. While demonstrating al-Shabab's resilience in the face of new military offensives by the U.S. and Somalia in recent months, the attack also highlights the shortcomings of U.S. drone strikes in a politically fraught country with a weak military and even weaker police, analysts told The Associated Press.

DERA ISMAIL KHAN, PAKISTAN – Pakistani intelligence officials say suspected U.S. missiles have struck a home in the Kurram tribal region, killing 20 militants. Two intelligence officials said missiles fired from a suspected U.S. drone hit a compound in the Mukbal area near the Afghan border Monday evening. They added that it was being used by militants from the Haqqani network and that one of their top commanders, Sangeen Wali, was killed. They spoke on condition of anonymity because they were not authorized to brief media. The strike comes a day after roadside bombs killed four security troops engaged in a search operation for militants in Kurram.

Machine Learning (ML) models are applied in a variety of tasks such as network intrusion detection or Malware classification. Yet, these models are vulnerable to a class of malicious inputs known as adversarial examples. These are slightly perturbed inputs that are classified incorrectly by the ML model. The mitigation of these adversarial inputs remains an open problem. As a step towards understanding adversarial examples, we show that they are not drawn from the same distribution than the original data, and can thus be detected using statistical tests. Using thus knowledge, we introduce a complimentary approach to identify specific inputs that are adversarial. Specifically, we augment our ML model with an additional output, in which the model is trained to classify all adversarial inputs. We evaluate our approach on multiple adversarial example crafting methods (including the fast gradient sign and saliency map methods) with several datasets. The statistical test flags sample sets containing adversarial inputs confidently at sample sizes between 10 and 100 data points. Furthermore, our augmented model either detects adversarial examples as outliers with high accuracy (> 80%) or increases the adversary's cost - the perturbation added - by more than 150%. In this way, we show that statistical properties of adversarial examples are essential to their detection.

When Hillary Clinton's new book What Happened debuted on Amazon's Web site last month, the response was incredible. So incredible, that of the 1,600 reviews posted on the book's Amazon page in just a few hours, the company soon deleted 900 it suspected of being bogus: written by people who said they loved or hated the book, but had neither purchased nor likely even read it. Fake product reviews--prompted by payola or more nefarious motives--are nothing new, but they are set to become a bigger problem as tricksters find new ways of automating online misinformation campaigns launched to sway public opinion. Amazon has deleted nearly 1,200 reviews of What Happened since it debuted on September 12, according to ReviewMeta, a watchdog site that analyzes consumer feedback for products sold on Amazon.com. ReviewMeta gained some notoriety last year when, after evaluating seven million appraisals across Amazon, it called out the online retailer for allowing "incentivized" reviews by people paid to write five-star product endorsements.

How far are you willing to go to get the ultimate selfie? Maria Mercedes Galuppo (@mariamgaluppo) has more. After a few months with your drone, you probably know the ropes. You've practiced how to fly smoothly and safely, and you've taken a few cool pictures. Maybe you're getting so good at this that your cousin wants to pay you to take her engagement photos.

Europe, while making progress, is behind the US and China in capturing the opportunities of artificial intelligence and automation. Digitization is everywhere, but adoption is uneven across companies, sectors, and economies, and the leaders are capturing most of the benefits. Accelerating progress in AI and automation now bring further opportunities for users, businesses, and the economy. Europe, while making progress, is behind the United States and China. This briefing note was prepared for the European Union Heads of State Tallinn Digital Summit, which brought together heads of state and CEOs to discuss the steps needed to enable people, enterprises, and governments to fully tap into the potential of innovative technologies and digitization. Digital technologies have been evolving and disrupting the way we live, work, and organize for years.

It's undeniable that artificial intelligence (AI) will have a prolific impact on every aspect of our life in the coming years – from industry to offices and even within the home. While there are a number of people, both consumers and business leaders alike, who are sceptical about how AI will impact our lives, the benefits this technology will ultimately bring to human productivity and overall efficiency shouldn't be overlooked. The questions we should be asking are'how can we harness AI to improve efficiency?' and'what do we want our future workplaces to look like?'. Artificial intelligence is rooted in building'learning systems'. Modelled on the neural patterns found in the human brain that enable us to learn continuously, AI is designed to learn and change its behaviour based on the environmental data its analyses over time.