Drone technology is developing so quickly--and morphing into commercial uses never before contemplated--that aviation regulators are having trouble keeping pace. Air-safety authorities on both sides of the Atlantic have acknowledged that traditional rule making is too slow and rigid to cope with the rapidly expanding applications of the flying machines, from bridge inspections to land surveys to news photography. And the pressure to spell out exactly what's allowed and what isn't is growing as the industry booms. Millions of hobbyists already operate drones, and over the next few years businesses are projected to begin flying millions more in the U.S. alone. Now regulators are scrambling to draft new, more-nimble rules and procedures.

We present new methods to estimate causal effects retrospectively from micro data with the assistance of a machine learning ensemble. This approach overcomes two important limitations in conventional methods like regression modeling or matching: (i) ambiguity about the pertinent retrospective counterfactuals and (ii) potential misspecification, overfitting, and otherwise bias-prone or inefficient use of a large identifying covariate set in the estimation of causal effects. Our method targets the analysis toward a well defined ``retrospective intervention effect'' (RIE) based on hypothetical population interventions and applies a machine learning ensemble that allows data to guide us, in a controlled fashion, on how to use a large identifying covariate set. We illustrate with an analysis of policy options for reducing ex-combatant recidivism in Colombia.

Artificial intelligence (AI) is intelligence created by machines or software. The artificial intelligence and robotics market was worth US 10.7 billion in 2014 and is expected to be worth US 153 billion by 2020, and to have a disruptive impact of between US 14 to US 33 trillion. The component for artificial intelligence alone is worth US 70 billion. There are perils with artificial intelligence. Don't let anyone tell you there aren't.

Nobel economics laureate and psychologist Daniel Kahneman -- considered the father of behavioral economics – retired from his teaching position at Princeton a few years ago to co-found a consulting firm in New York. In a talk at the recent Wharton People Analytics Conference, he said of his consulting experience that he had "expected to be awed" by the quality of the decision-making in organizations "that need to make profits to survive in a competitive world." "You look at large organizations that are supposed to be optimal, rational. And the amount of folly in the way these places are run, the stupid procedures that they have, the really, really poor thinking you see all around you, is actually fairly troubling," he said, noting that there is much that could be improved. Figuring out how to make the act of decision-making "commensurate with the complexity and importance of the stakes" is a huge problem, in Kahneman's view, to which the business world does not devote much thought.

By: HQAnon / (AnonHQ) The evolution of humanoid robots is well into the concerning stage at this point. DARPA's latest incarnation of its Atlas robot is seen in the following video beginning to walk at a pace with a sense of balance equal to most humans. Strangely, toward the end of the video, it is being "abused" by its human handler, which begs the question if a true artificial intelligence is permitted to flourish in this robot, if it might strike back at some point. At the very least, this robot's demonstration of dexterity in the warehouse is likely to threaten humans economically as humans continue to be outsourced to machine labor at record levels. But it's the latest humanoid robot from Hanson Robotics that might further heighten the level of concern.

DeepMind is an artificial intelligence lab in London that creates what are known as general purpose self-learning algorithms. The company, acquired by Google in 2014 for a reported 400 million, is best-known for creating software „agents" that have mastered games like…

DeepMind is an artificial intelligence lab in London that creates what are known as general purpose self-learning algorithms. The company, acquired by Google in 2014 for a reported 400 million, is best-known for creating software "agents" that have mastered games like Go and Space Invaders but it also wants to apply its technology to healthcare. Mustafa Suleyman, DeepMind cofounder and head of DeepMind Health, gave a talk at the King's Fund in London this week where he explained how the company is working with the NHS and what kind of benefits patients can expect to see in the long run. The company operates independently of Google and creates software that can think for itself. In order to create this kind of AI software, DeepMind draws on huge data sets that can help to teach DeepMind's AI how to perform certain tasks.

Below is a series of questions that I have been asked frequently and preliminary answers. The facts remain incomplete, so these are preliminary thoughts. In the wake of the shooting of the Dallas police officers Thursday night during a peaceful protest, police cornered the shooter -- Micah Xavier Johnson -- in a parking garage. After an hours-long standoff that included exchanges of gunfire, they used a robot to deliver an explosive that killed the gunman. "We saw no other option but to use our bomb robot and place a device on its extension for it to detonate where the subject was," Dallas Police Chief David Brown said at a news conference Friday morning.

Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation with major facilities in Albuquerque, New Mexico and Livermore, California. We are a world-class team of scientists, engineers, technologists, post docs, and visiting researchers all focused on cutting-edge technology, ranging from homeland defense, global security, bio...technology, and environmental preservation to energy and combustion research, computer security, and nuclear defense. To learn more, please visit our website at www.sandia.gov. We are searching for a Manager for the Semiconductor Device Sciences Department for the Albuquerque facility. Must be able to obtain and maintain a DOE Security Clearance.

SINGAPORE: At a time when radicalism is on the rise and people are concerned that their city might join the list of those tainted by terror, safety and security are topmost on the minds of government customers, Hewlett Packard Enterprise told Channel NewsAsia. The US-based IT giant is thus hoping to tackle these issues with a tool to help governments better make sense of the huge amounts of information being shared online by citizens, in the form of a Citizen Insights Dashboard. The tool, which is currently in beta, will be showcased for the first time at the World Cities Summit (WCS) held in Singapore from Sunday (Jul 10). It was developed in the city-state since April by a team led by Mr Jason Tan, director of HSE Insights Lab Singapore spearheading the project. More than just surveillance for security, the dashboard looks to make sense of posts made by citizens on social media to understand their thoughts and what they care about.