Have you seen sci-fi movies like A.I. Artificial Intelligence, a 2001 US science fiction drama directed by Steven Spielberg that portrays a childlike android programmed to love, or Bicentennial Man, which starred the late Robin Williams and was based on a 1976 novel by Isaac Asimov? Have you seen the movie Surrogates which starred Bruce Willis and portrayed a futuristic world where people live within the safety of their homes while their robotic surrogates carry on their daily chores? If yes, you are also likely to believe that machines endowed with artificial intelligence (AI) can emulate, or even surpass, human intelligence. However, nothing can be further from the truth, say researchers. "The frightening, futurist portrayals of artificial intelligence that dominate films and novels, and shape the popular imagination, are fictional… Unlike in the movies, there is no race of superhuman robots on the horizon or probably even possible," insists a Stanford University-hosted report.

WASHINGTON – It's a scary world out there, risk experts agree, but they say Donald Trump and Hillary Clinton often focus on the wrong dangers -- fixing on hazards that are unlikely, or unlikely to cause massive pain. The Associated Press asked 21 risk experts to analyze the presidential campaign and list what they consider the five biggest threats to the world. Climate change topped the list with 17 mentions, often as the top threat. It was followed by use of nuclear weapons, pandemics, cyberattacks and problems with high technology. Neither Trump's signature issues of immigration and terrorism nor Clinton's major concerns, financial insecurity and gun violence, made the list. "I have not heard or read about any significant deliberations of the major risks that face our country today and tomorrow.

From stopping cyberattacks to operating autonomous vehicles to visually searching through a wine database, 140 startups using AI as a core part of their products raised $958M in funding in Q3'16, making it the second-highest quarter for funding after Q2'16. Since 2012, deals and dollars to AI startups have been on a steady rise, and this year is extending that trend. Our AI category includes companies applying AI solutions to verticals like healthcare, security, advertising, and finance as well as those developing general-purpose AI tech. Our list excludes robotics (hardware-focused) and AR/VR startups, which we've analyzed separately here and here. Our analysis includes all equity funding rounds and convertible notes.

China's fastest supercomputers have some clear goals, namely development of its artificial intelligence, robotics industries and military capability, says the U.S. But some of the early iterations of this effort seem a little weird. China recently deployed what it calls a "security robot" in a Shenzhen airport. It's named AnBot and patrols around the clock. Here's what AnBot looks like, according to a Chinese government newspaper, The People's Daily online.

WASHINGTON – The Pentagon says a U.S. airstrike in Syria last month killed what the Defense Department describes as a senior al-Qaida leader who once had ties to Osama bin Laden. Jeff Davis, identifies the target as Haydar Kirkan. The spokesman says Kirkan oversaw the planning of attacks against Western targets outside of Syria, including in Turkey. Davis says a U.S. drone carried out the airstrike Oct. 17 in the vicinity of Idlib, in western Syria. The U.S. has previously announced that in the week after that airstrike, it hit al-Qaida targets in Yemen and Afghanistan.

Low-variance gradient estimation is crucial for learning directed graphical models parameterized by neural networks, where the reparameterization trick is widely used for those with continuous variables. While this technique gives low-variance gradient estimates, it has not been directly applicable to discrete variables, the sampling of which inherently requires discontinuous operations. We argue that the discontinuity can be bypassed by marginalizing out the variable of interest, which results in a new reparameterization trick for discrete variables. This reparameterization greatly reduces the variance, which is understood by regarding the method as an application of common random numbers to the estimation. The resulting estimator is theoretically guaranteed to have a variance not larger than that of the likelihood-ratio method with the optimal input-dependent baseline. We give empirical results for variational learning of sigmoid belief networks.

In many common interactive scenarios, participants lack information about other participants, and specifically about the preferences of other participants. In this work, we model an extreme case of incomplete information, which we term games with type ambiguity, where a participant lacks even information enabling him to form a belief on the preferences of others. Under type ambiguity, one cannot analyze the scenario using the commonly used Bayesian framework, and therefore he needs to model the participants using a different decision model. In this work, we present the ${\rm MINthenMAX}$ decision model under ambiguity. This model is a refinement of Wald's MiniMax principle, which we show to be too coarse for games with type ambiguity. We characterize ${\rm MINthenMAX}$ as the finest refinement of the MiniMax principle that satisfies three properties we claim are necessary for games with type ambiguity. This prior-less approach we present her also follows the common practice in computer science of worst-case analysis. Finally, we define and analyze the corresponding equilibrium concept assuming all players follow ${\rm MINthenMAX}$. We demonstrate this equilibrium by applying it to two common economic scenarios: coordination games and bilateral trade. We show that in both scenarios, an equilibrium in pure strategies always exists and we analyze the equilibria.

Cylance Chief Data Scientist Moderates Panel on How Artificial Intelligence Can Help Fight ... I just launched Octane AI, sign up for early beta access. Did Artificial Intelligence Just Make a Major Advance? Are the Experts Worried About the Existential Risk of Artificial Intelligence? Humans does A.I. better than Westworld without resorting to nudity and orgies Stay up-to-date on the topics you care about. We'll send you an email alert whenever a news article matches your alert term.

They don't experience any emotions at all, really, but on the battlefield, it's the lack of fear that stands out. When ISIS captured Mosul in 2014, they did so with just 2,000 fighters, taking a city of 2 million from a defensive force of 30,000 Iraqi Security Forces. ISIS took Mosul with speed, and they took it with fear. Iraq's armed forces in 2014, especially those guarding Mosul, were under-trained and ill-equipped, and nowhere near as strong as a 15-to-1 numerical advantage suggests. Troops never trained to fire a gun fled, fearing what reprisal from a victorious ISIS insurgent state would mean to themselves and their families.

WASHINGTON – Donald Trump blames Mexico and China for stealing millions of jobs from the United States. Despite the Republican presidential nominee's charge that "we don't make anything anymore," manufacturing is still flourishing in America. Problem is, factories don't need as many people as they used to because machines now do so much of the work. America has lost more than 7 million factory jobs since manufacturing employment peaked in 1979. Yet American factory production, minus raw materials and some other costs, more than doubled over the same span to $1.91 trillion last year, according to the Commerce Department, which uses 2009 dollars to adjust for inflation.