Drone industry and law-enforcement officials are struggling to find common ground over expanding flights and protecting public safety, a debate thrust into the public spotlight by a reported assassination attempt on Venezuelan President Nicolás Maduro. The Federal Aviation Administration is projecting a fourfold increase, from more than 110,000 currently, in the number of commercial drones flying in U.S. skies in the next five years. U.S. law-enforcement officials, however, want to delay widespread operations until reliable defensive systems are developed. Saturday's attack with unmanned aircraft in Caracas was a reminder for the drone industry and U.S. government officials over the potential security threats even readily available commercial drones can pose. Venezuelan authorities said a pair of explosive-laden drones carrying a total of about 4 pounds of plastic explosives were part of an unsuccessful assassination attempt during an outdoor ceremony in Caracas, with one of the vehicles detonating after government jamming devices knocked it off course.

Health insurance is a critical component of the healthcare industry with private health insurance expenditures alone estimated at $1.1 billion in 2016, according to the latest data available from the Centers for Medicare and Medicaid Services. This figure represents 34 percent of the 2016 National Health Expenditure at $3.3 trillion. In this article, we will look at four AI applications that are tackling problems of underutilization and fraud in the insurance industry. Some applications below claim that they are using artificial intelligence to help improve health insurance cost efficiency, while reducing waste of money on underutilized or preventable care. Other applications claim to detect fraudulent claims.

The U.S. Defense Department is already preparing itself for the fight against deepfakes, fake audio and video created by artificial intelligence that burst into the mainstream last year thanks to sites like Reddit. According to MIT Technology Review, the development of tech to catch deepfakes is currently underway. Through the Media Forensics program run by the US Defense Advanced Research Projects Agency (DARPA), researchers have already built some of the tools to expose these fake AI creations. The Media Forensics program was actually originally set up to automate existing forensic tools, however its mission changed due to the concern over the rise of deepfakes. The project's deepfake mission was announced earlier this year.

Gradually, perhaps imperceptibly, automated systems will function so much more efficiently that humans will become mere bystanders. The soldier will become the slowest element in an engagement, or will simply become irrelevant. Adherence to the rules of war will become less relevant as well. A separate set of ethical questions are raised by the technologies of human "enhancement" and augmentation, which include improving physical strength, stamina and pain tolerance, as well as using neurological implants and stimulation to restore brain function and enhance learning. Can soldiers under the influence of behavior-modifying drugs or electronics be held to account for their actions?

Much like our ancestors, we live in an epoch of two worlds that compete and coexist. There's nothing more fascinating to me than the image of sitting outside on a cool evening drinking ice-water, watching stars sprinkle onto the Belt of Venus, listening to cicadas right alongside a companion robot. A social robot like Pepper could fill that niche for me. Yet when I tell people about this, many find it comical, if not jarring. Robots like Pepper look a tad creepy.

NASA Jet Propulsion Laboratory's Mars rovers have a special place in my heart. I loved seeing pictures of Sojourner nuzzling up to rocks, and I still wonder whether it managed to drive around the Pathfinder lander after contact was lost. Spirit going silent was heartbreaking, and Opportunity continues to inspire so far beyond its expected lifetime, even as a dust storm threatens to starve it to death. And I particularly remember thinking how insane it was that Curiosity was going to drop onto the surface from a hovering robotic sky crane (!), and then being entirely overwhelmed to watch it happen flawlessly from the media room at JPL. I'm not the only person who thinks that JPL's rovers are incredible, and other rover fans have been pestering the roboticists at JPL for a cute little rover that can be built at home.

Anonymous has promised to uncover the truth behind the "Qanon" conspiracy theory spreading across the internet and Trump rallies. Qanon and its supporters have become prominent in recent weeks . The conspiracy theory takes in much of the contemporary world, but its central beliefs are that there is a huge undiscovered paedophile ring among the elite and that Donald Trump is uncovering it. The video claims to know who is behind the baseless conspiracy theory and suggests that those associated with Anonymous may launch attacks on people who are sharing it. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph.

Andrew Ng is a great fan of reading research papers as a long term investment in your own study (On Life, Creativity, And Failure about Andrew Ng). Anyone who has worked in our field (AI, Machine Learning) can attest to that. AI is a complex and a rapidly evolving field. It's a challenge to stay up to date with the latest technical details. Based on my experience, in this post, I discuss how you can stay up to date by learning from the community.

From the discovery of an eighth exoplanet circling distant star Kepler-90 to Microsoft's ambitious new project to map and decode the human immune system, Artificial Intelligence (AI) and especially its subset Machine Learning – a field of Computer Science that gives computers the ability to "learn" based on past data – have seen a promising boom in application across numerous industries over the past decade. The investment banking sector is amongst those. Opportunities abound, from the basics – like relieving employees of time-consuming, menial tasks, such as cleaning their inboxes or resetting passwords – to more consequential services – such as fighting money laundering, rogue trading, and cybercrime. Even more, the technology promises to protect employee rights through unprejudiced recruitment. Over the past few years, banks, from HSBC to Credit Suisse, have been partnering with financial technology companies to integrate AI into a wide range of operations.

The first forensics tools for catching revenge porn and fake news created with AI have been developed through a program run by the US Defense Department. Forensics experts have rushed to find ways of detecting videos synthesized and manipulated using machine learning because the technology makes it far easier to create convincing fake videos that could be used to sow disinformation or harass people. The most common technique for generating fake videos involves using machine learning to swap one person's face onto another's. The resulting videos, known as "deepfakes," are simple to make, and can be surprisingly realistic. Further tweaks, made by a skilled video editor, can make them seem even more real.