The meeting with Kagame comes not long after participants in a White House meeting said Trump had referred to African nations as "shitholes." And Trump has come under fire in Britain after he retweeted videos from a far-right British group and criticized London Mayor Sadiq Khan following a terror attack last year. Trump canceled plans for a recent trip to London to open the new $1 billion U.S. embassy there, a move that avoided protests promised by political opponents. The president said he skipped the trip because he was unhappy with the new embassy's cost and location.

Google parent Alphabet Inc. has spun off its latest "moonshot" company from its X Labs in the form of Chronicle Inc., a company that uses machine learning to assist in detecting cybersecurity intrusions. Unheard of until today -- unlike previous Alphabet X alumni such as former Google Car project Waymo Inc. -- Chronicle aims to simplify the lives of cybersecurity and information technology professionals. It's offering two services: a security intelligence and analytics platform for enterprises and VirusTotal, a malware and virus scanner Google acquired in 2012. The company claims to use machine learning to detect intrusions more quickly than existing solutions, cutting the time it takes to stop a breach. "The information that security teams need to identify and investigate attacks is right there in an organization's existing security tools and IT systems, but it's hidden in enormous volumes of data and therefore can't easily be seen, understood, or used," X "Captain of Moonshots" Astro Teller wrote in a Medium post. "Providing better capabilities for finding the patterns in that data might not sound like much, but shrinking the time between when an attack starts and when it's discovered (from a few months to a few hours or days) could reduce a lot of damage."

Researchers from the University of Valladolid (Spain) have created a computer model based on neural networks which provides in which Spanish provinces cases of corruption can appear with greater probability, as well as the conditions that favor their appearance. This alert system confirms that the probabilities increase when the same party stays in government more years. Two researchers from the University of Valladolid have developed a model with artificial neural networks to predict in which Spanish provinces corruption cases could appear with more probability, after one, two and up to three years. The study, published in Social Indicators Research, does not mention the provinces most prone to corruption so as not to generate controversy, explains one of the authors, Ivan Pastor, to Sinc, who recalls that, in any case, "a greater propensity or high probability does not imply corruption will actually happen." The data indicate that the real estate tax (Impuesto de Bienes Inmuebles), the exaggerated increase in the price of housing, the opening of bank branches and the creation of new companies are some of the variables that seem to induce public corruption, and when they are added together in a region, it should be taken into account to carry out a more rigorous control of the public accounts.

The prime minister is to say she wants the UK to lead the world in deciding how artificial intelligence can be deployed in a safe and ethical manner. Theresa May will say at the World Economic Forum in Davos that a new advisory body, previously announced in the Autumn Budget, will co-ordinate efforts with other countries. In addition, she will confirm that the UK will join the Davos forum's own council on artificial intelligence. But others may have stronger claims. Earlier this week, Google picked France as the base for a new research centre dedicated to exploring how AI can be applied to health and the environment.

The U.S. Army is looking for innovative scientists to create a prototype design for futuristic, next-generation combat wear for soldiers inspired by the nano suit worn in the Iron Man films. In an announcement posted in December, the U.S. Special Operations Command, which is part of the Defense Department, requested submissions from any'industry, academia, individuals and government organizations,' interested in developing a special super suit for the military. It requires submissions include an'operable exoskeleton' that's capable of a human range of motion and won't get in the way of operating machinery. The Tactical Assault Light Operator Suit (Talos) would effectively give its wearer superpowers, such as the ability to see in the dark, super-human strength and a way of deflecting bullets. The Tactical Assault Light Operator Suit (Talos) would effectively give its wearer superpowers, such as the ability to see in the dark, super-human strength and a way of deflecting bullets.

SINGAPORE: Thousands of jobs for professionals, managers, executives and technicians (PMET) are being created in the professional services sector, in new roles such as cybersecurity consultants, data engineers and legal tech experts. The sector - which includes architecture and engineering services, accounting and advertising - unveiled its industry transformation map (ITM) on Wednesday (Jan 24), which charts its vision to become a "global market leader in high-value and specialist services". At the heart of the roadmap are initiatives to drive innovation and equip the workforce with skill sets in areas such as data science and artificial intelligence over the next five to 10 years, the Economic Development Board (EDB) said. With the roadmap, the professional services sector is projected to grow at an average rate of 4.6 per cent from 2015 to reach a value-add of S$31 billion by 2020. The aim is also to generate 5,500 jobs every year till 2020.

Artificial intelligence-driven health tools, including those built for mobile apps or other technologies, have the potential to conveniently delivery high-quality data and services to a growing share of the population, according to a recent JASON advisory report requested by and developed for HHS' Office of the National Coordinator for Health IT (ONC). To do so, however, major players will need to be cognizant to the potential pitfalls AI will bring, and make directed efforts to prevent issues of privacy and security, mismanagement of growing datasets, access inequity, and the proliferation of misinformation for personal gain. "Revolutionary changes in health and health care are already beginning in the use of smart devices to monitor individual health. Many of these developments are taking place outside of traditional diagnostic and clinical settings," the advisory group wrote in its report. "In the future, AI and smart devices will become increasingly interdependent, including in health-related fields. On one hand, AI will be used to power many health-related mobile attachments and apps. On the other hand, mobile devices will create massive datasets that may open new possibilities in the development of AI-based health and health care tools."

Self-driving cars are starting to be an ordinary sight on our streets and highways, as more and more consumers have embraced the technology. Proponents of autonomous driving argue that the technology will improve safety and efficiency, while making the driving experience that much more enjoyable. But now that self-driving cars have gained mainstream notoriety, it also raises plenty of questions. Tesla, Google and a plethora of other firms have been racing to make self-driving cars a reality. But experts warn that passengers may be too trusting of the technology, which could lead to major safety concerns.

The prime minister is to say she wants the UK to lead the world in deciding how artificial intelligence can be deployed in a safe and ethical manner. Theresa May will say at the World Economic Forum in Davos that a new advisory body, previously announced in the Autumn Budget, will co-ordinate efforts with other countries. In addition, she will confirm that the UK will join the Davos forum's own council on artificial intelligence. But others may have stronger claims. Earlier this week, Google picked France as the base for a new research centre dedicated to exploring how AI can be applied to health and the environment.

The future of war lies in part with what the military calls "autonomous weapons systems" (AWS), sophisticated computerized devices which, as defined by the U.S. Department of Defense, "once activated, can select and engage targets without further intervention by a human operator." Whether it's a good idea or a bad one is debatable, but it isn't a question of if, but how soon autonomous, artificially intelligent machines will fight side by side with human soldiers on the battlefield. United States Army General Robert W. Cone (now deceased) predicted in 2014 that as many as one-quarter of all U.S. combat soldiers might be replaced by drones and robots within the next 30 years. In the U.S., both the Army and Marine Corps are already testing remote-controlled devices like the Modular Advanced Armed Robotic System (MAARS), an unmanned ground vehicle (UGV) designed primarily for reconnaissance that can also be equipped with a grenade launcher and a machine gun: The latter are known as lethal autonomous weapons systems (LAWS for short, or more pithily, "killer robots," as critics have dubbed them). Though they may conjure up futuristic, dystopian images redolent of The Terminator (the Arnold Schwarzenegger film about an armed super-robot from the future) or Robopocalypse (Daniel Wilson's 2011 science fiction novel about AI weapons turning on their creators), the dangers they pose are firmly rooted in reality.