The development of Artificial Intelligence is one to the most important events in recent human history. The final outcome of it, is still to be determined. At a moment when many might see the development of AI as potentially more threatening than beneficial, a growing coalition of researchers and innovators around the world tries to make sure that the opposite is the case. This movement towards "AI for Good", is gaining significant momentum and brings up relevant questions just at the right time. It also drives business and innovation in areas where Artificial Intelligence is used as a promising tool for sustainable development.

Kai-Fu Lee is the founder and CEO of Sinovation Ventures, a Chinese technology venture investment firm. He was named one of Time magazine's 100 most influential people in the world in 2013. Before founding Sinovation Ventures, he was president of Google China and previously held executive positions at Microsoft, SGI, and Apple. While in Vancouver attending the TED conference, Lee sat down with Martin Reeves, director of the BCG Henderson Institute, to talk about the impact of artificial intelligence on companies, industries, and nations. Drawing from his new book AI Superpowers: China, Silicon Valley, and the New World Order -- which will be released in September 2018 -- he discussed the case for the regulation of AI applications, how AI affects company and national competitiveness, and how CEOs might be underestimating the effect of AI on the future of work. A transcript of the conversation follows. We hear all sorts of extreme predictions about the possibilities for AI.

Niger Air Base 201 is expected to be functional early next year. The base, a few miles outside Agadez and built at the request of Niger's government, will eventually house fighter jets and MQ-9 drones transferred from the capital Niamey. The drones, with surveillance and added striking capabilities, will have a range enabling them to reach a number of West and North African countries.

AGADEZ, Niger – On the scorching edge of the Sahara Desert, the U.S. Air Force is building a base for armed drones, the newest front in America's battle against the growing extremist threat in Africa's vast Sahel region. Niger Air Base 201 is expected to be functional early next year. The base, a few miles outside Agadez and built at the request of Niger's government, will eventually house fighter jets and MQ-9 drones transferred from the capital Niamey. The drones, with surveillance and added striking capabilities, will have a range enabling them to reach a number of West and North African countries. Few knew of the American military's presence in this desperately poor, remote West African country until October, when an ambush by Islamic State group-linked extremists killed four U.S. soldiers and five Nigeriens.

Science fiction authors and futurologists often imagine a world where ubiquitous use of artificial intelligence (AI) in medicine means the end of physicians. In such a world, omniscient AI bots effortlessly diagnose and treat diseases, while various robots are busy performing life-saving surgeries. Many physicians, on the other hand, hold the view that medicine is as much an art as it is science, which makes it unique among other industries. They believe that efforts to incorporate artificial intelligence into healthcare are a fool's errand. The truth probably lies somewhere in the middle, at least in the present and in the near future.

April 13th 2015, Forrester came out with a report where they forecast that by 2020, One Million B2B Sales jobs (this is in the US only) will go. The suggestion being that certain (I'm not saying all) processes can be automated and with the introduction of artificial intelligence (AI), this automation seems only to increase. As Jill Rowley pointed out at the time, the introduction of AI is already happening as the first place people go to make a purchase is Google, which is Artificial Intelligence (AI) after all. OK before we start, you are already using AI and maybe you don't know it. So how can AI help us in Marketing and Sales?

Advance in artificial intelligence and automation could replace as many as half the financial services workers over the next decade, industry experts say, but it's going to take a big investment to make that happen. James D'Arezzo, CEO of GlenMOBILE VOICE TELEPHONY usage in Africa has remained stable and the situation is likely to persist at least until the end of this year – despite increasing adoption of Over the Top (OTT) applications such as instant messaging and social media platforms, dale-based Condusiv Technologies, says that's where things are headed. And the process will be complicated. "Unless banks deal with the performance issues that AI will cause for ultra-large databases, they will not be able to take the money gained by eliminating positions and spend it on the new services and products they will need in order to stay competitive," he said. Intensive hardware upgrades are often cited as an answer to the problem, but D'Arezzo said that's prohibitively expensive.

Seems like the term Machine Learning is popping up in mainstream media as the next big thing. The fact is, however, that Machine Learning went mainstream a long time ago. You don't think so? Check your mobile phone. Chances are you've been using and benefiting from Machine Learning algorithms all this time without even knowing it. In this blog post, I go through some of the many apps on your mobile phone that use Machine Learning algorithms to make recommendations, get you to your destination quickly and safely, improve your photos, tell you what song you're listening to and more.

The purpose of this paper is to re-investigate the estimation of multiple factor models by relaxing the convention that the number of factors is small. We first obtain the collection of all possible factors and we provide a simultaneous test, security by security, of which factors are significant. Since the collection of risk factors selected for investigation is large and highly correlated, we use dimension reduction methods, including the Least Absolute Shrinkage and Selection Operator (LASSO) and prototype clustering, to perform the investigation. For comparison with the existing literature, we compare the multi-factor model's performance with the Fama-French 5-factor model. We find that both the Fama-French 5-factor and the multi-factor model are consistent with the behavior of "large-time scale" security returns. In a goodness-of-fit test comparing the Fama-French 5-factor with the multi-factor model, the multi-factor model has a substantially larger adjusted $R^{2}$. Robustness tests confirm that the multi-factor model provides a reasonable characterization of security returns.

Authorities in Riyadh have called on drone enthusiasts to register with authorities prior to operating the aerial devices, after a toy drone was reportedly shot down near the royal palace in the capital. On Saturday, videos posted online purported to show Saudi security forces shooting down the drone near King Salman bin Abdulaziz Al Saud's palace, with heavy gunfire. Riyadh police said security forces responded to an unauthorised, small drone-type toy after spotting it near a security point in Khuzama neighbourhood. It was not clear who was operating the device. A spokesperson for the interior ministry said a framework regulating the use of drones was in "its final stages", state-run SPA news agency reported on Sunday.