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.

Covariate shift classification problems can in principle be tackled by importance-weighting training samples. However, the sampling variance of the risk estimator is often scaled up dramatically by the weights. This means that during cross-validation - when the importance-weighted risk is repeatedly evaluated - suboptimal hyperparameter estimates are produced. We study the sampling variances of the importance-weighted versus the oracle estimator as a function of the relative scale of the training data. We show that introducing a control variate can reduce the variance of the importance-weighted risk estimator, which leads to superior regularization parameter estimates when the training data is much smaller in scale than the test data.

The goal of this report is to present a realistic baseline that allows companies to compare their AI ambitions and efforts. Building on data rather than conjecture, the research is based on a global survey of more than 3,000 executives, managers, and analysts across industries and in-depth interviews with more than 30 technology experts and executives.

World petrol demand will peak within 13 years thanks to the impact of electric cars and more efficient engines, energy experts have predicted. UK-based Wood Mackenzie said it expected the take-up of electric vehicles to cut gasoline demand significantly, particularly beyond 2025 as the battery-powered cars go mainstream. Combined with car manufacturers forced by regulations to produce models that run further on the same amount of oil, a new report by the analysts suggests global gasoline demand is likely to peak by 2030. The UK and France have recently said they will phase out sales of new petrol and diesel cars by 2040. China, the world's biggest car market, is mulling a similar move, which would have a significant impact on oil demand.

Google's AI subsidiary DeepMind is getting serious about ethics. The UK-based company, which Google bought in 2014, today announced the formation of a new research group dedicated to the thorniest issues in artificial intelligence. These include the problems of managing AI bias; the coming economic impact of automation; and the need to ensure that any intelligent systems we develop share our ethical and moral values. DeepMind Ethics & Society (or DMES, as the new team has been christened) will publish research on these topics and others starting early 2018. The group has eight full-time staffers at the moment, but DeepMind wants to grow this to around 25 in a year's time.

Many financial services industry firms are examining the potential of distributed ledger and artificial intelligence (AI) technologies. Is it too early for any meaningful deployment? Heather McKenzie, editor of Daily News at Sibos, investigates. If distributed ledger and blockchain was the flavour of the week at last year's Sibos in Geneva, this year AI looks set to take the technology hype crown. In the wider world, there is plenty of interest in AI, with some warning of a dystopian future in which machines rule the world.

"Our findings expose a threat to the privacy and safety of gay men and women," wrote Michal Kosinski in a paper set to be published by the Journal of Personality and Social Psychology--only he's the one now finding himself in danger. The New York Times takes a look at the quagmire Kosinski finds himself in following his decision to try--and, in some fashion, succeed--at building what many are referring to as "AI gaydar." The Stanford Graduate School of Business professor tells the Times he decided to attempt to use facial recognition analysis to determine whether someone is gay to flag how such analysis could reveal the very things we want to keep private. The Times delves into the research--first highlighted by the Economist in early September--and the many bones its many critics have to pick with it. Kosinski and co-author Yilun Wang pulled 35,000 photos of white Americans from online dating sites (those looking for same-sex partners were classified as gay) and ran them through a "widely used" facial analysis program that turns the location, size, and shape of one's facial characteristics into numbers.

In the coming few years, Artificial Intelligence (AI) is going to take over on many of the current jobs. As per this PwC report, more than 30% of jobs in US, UK, and Germany are at high risk of automation. Some of these jobs may disappear within a few years while some can still be around for decades. In this article, we will highlight only those ones that can be automated soon. According to HBR, AI may soon replace even the most elite consultants. For many years, consulting was considered to be one of the most attractive industries due to its abnormal high profit margins.

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.

Chinese powerhouse Huawei makes smartphones, smartwatches and the hardware that powers mobile phone networks around the world. Today, in Munich, the company revealed its latest high-end mobile, the Mate 10. Get past the branding, both of the company's name which can sound like you've sneezed (Hwah-way!), and the idea that the phone in your pocket can be considered your mate, and you find a capable, glossy handset from a manufacturer reaching its greatest level of confidence. Like Google, which recently announced its Pixel 2 handset, Huawei is betting the farm on artificial intelligence (AI) with a powerful processor, called the Kirin 970. It boasts eight cores and a neural processing unit (NPU).