Countries around the world are experimenting with artificial intelligence (AI) for various purposes. Use of AI for gaming industry is one of them. Although use of botnet and AI are banned from websites providing online poker services, yet AI can be used to test its effectiveness and usage in poker and other games. It is obvious that use of botnet and AI would amount to taking undue and unfair advantage over others and it would amount to cheating. Thus, AI and botnet are prohibited from playing or using online poker websites and online fantasy sports. In one such incidence, AI has beaten four human players in a poker marathon match lasting 20 days, winning more than USD 1.5 millions worth of chips.

The World Health Organization has estimated that there is a global shortfall of approximately 4.3 million doctors and nurses, with poorer countries disproportionately impacted. In the U.S., these shortages are less acute; instead, the country struggles with ever-increasing health care costs, which often translate into limits on the time a patient is able to spend with a doctor. One study estimated that U.S. doctors spend on average just 13 to 16 minutes with each patient. So against this backdrop of a global shortage in doctors and nurses, and cost-driven strains in patient care, let's take a look at some of the ways AI systems are being evaluated for use in medical care. In August 2016, an artificially intelligent supercomputer did in 10 minutes what would have taken human doctors weeks to achieve.

The dirty little secret is out about artificial intelligence. This one is more insidious. Data scientists, AI experts and others have long suspected it would be a problem. But it's only within the last couple of years, as AI or some version of machine learning has become nearly ubiquitous in our lives, that the issue has come to the forefront. Name an -ism, and more likely than not, the results produced by our machines have a bias in one or more ways.

President Donald Trump's executive order barring citizens from seven predominantly Muslim countries has prompted nationwide protests and led tech companies, including Amazon, to consider legal action because of potential business impacts. But for some tech companies around the world, the ban has already thrown operations into chaos. "Until the executive order, we didn't really care about who's from where or what religion they were, we didn't ask, but all these things have been a distraction and worrying," said Husayn Kassai, the CEO and co-founder of London-based startup Onfido. The company, which uses artificial intelligence to help clients carry out complex background checks, boasts a 145-person staff representing 41 different nationalities. Kassai was born in Manchester, U.K., but holds dual citizenship in Iran and the U.K.

Millions around the globe may have taken to the streets in recent years to protest against the impact of globalisation on their jobs and communities - but this backlash is only likely to grow as globalisation itself becomes more disruptive. The stark warning comes from Richard Baldwin, president of the Centre for Economic Policy Research think-tank, who has been studying global trade for the past 30 years. Technological advances could now mean white-collar, office-based workers and professionals are at risk of losing their jobs, Prof Baldwin argues. In the US, voter anger with globalisation may have led to Donald Trump's election victory, but those who voted for him could be disappointed as his aim of bringing back jobs is unlikely to work, says Prof Baldwin, who also worked as an economist under President George HW Bush. Protectionist trade barriers won't work in the 21st Century, he says.

A top US general responsible for shaping the military of the future has revealed that robots could make up a quarter of the army within the next few decades. General Robert Cone said last year that the hi-tech machines will fight alongside soldiers on the battlefield by 2030 or 2040, in a bid to make the army'a smaller, more lethal, deployable and agile force'. He said modern health and safety concerns designed to keeping soldiers safe - adding armour and protection to vehicles and personnel - has caused the army to lose some of its lethal edge, but hinted that robots could revitalize its killing force. The US Army has a long-running mission to create autonomous robots - machines capable of making decisions, in real time, on the front line to changing circumstances. More than a decade of war in Afghanistan and Iraq has allowed the public to see the huge resources already dedicated to unmanned systems; from the high-flying Global Hawk to the lethal Predator drones to hand-launched Raven.

WASHINGTON – The White House said Tuesday that no American citizen "will ever be targeted" in raids against terror suspects, a blanket statement that appeared to signal a break from the Obama administration's strategy for pursuing and targeting suspects in counterterrorism operations overseas. Under former President Barack Obama, the Justice Department had issued a legal opinion giving the U.S. the authority to target Americans who are working with terrorists abroad. White House spokesman Sean Spicer told reporters the Trump administration will lean on the guidance of Central Intelligence Agency director Mike Pompeo and Defense Secretary Jim Mattis, but he added that "no American citizen will ever be targeted." It was not immediately clear whether Spicer's intended to recalibrate U.S. policy. The U.S. specifically targeted and killed American Anwar al-Awlaki, a radical cleric, in Yemen in 2011.

This paper introduces a novel neural network model for question answering, the \emph{entity-based memory network}. It enhances neural networks' ability of representing and calculating information over a long period by keeping records of entities contained in text. The core component is a memory pool which comprises entities' states. These entities' states are continuously updated according to the input text. Questions with regard to the input text are used to search the memory pool for related entities and answers are further predicted based on the states of retrieved entities. Compared with previous memory network models, the proposed model is capable of handling fine-grained information and more sophisticated relations based on entities. We formulated several different tasks as question answering problems and tested the proposed model. Experiments reported satisfying results.

When it comes to voice recognition software, SoundHound is definitely not as big a name as Google or Amazon -- yet. SoundHound has raised $75 million in support of its efforts to create artificial intelligence systems capable of recognizing complex human voices and commands, Bloomberg reports. Samsung and Nvidia, two companies that have previously partnered with SoundHound, were among the investors. SoundHound already has Houndify, a proprietary AI technology capable of interpreting complex speech and other audio. The latest $75 million investment will go toward expanding this system into new territories and devices.

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