Lemonade, the New York City-based insurtech that is powered by artificial intelligence, has launched in the United Kingdom, following previous international moves in France, Germany, and the Netherlands. Founded in 2015, Lemonade launched its flagship renters insurance in the U.S. in 2016. Lemonade customers can get a quote, purchase contents insurance, file a claim, and get paid -- all within seconds, said the company. Residents in the UK are now able to protect their belongings with Lemonade, featuring a Defaqto 5 Star Rating, starting at just £4 (US$4.50) a month. Policies can be bought through the Lemonade app or online.

The UK is setting the stage for its future Artificial Intelligence (AI) regulatory model. Much like the EU, it suggests adopting a risk-based approach but will differ from the bloc by entrusting enforcement to a panel of regulators. The British government presented its "pro-innovation approach to regulating AI" on Monday (18 July) alongside its new Data Protection and Digital Information Bill. It follows the presentation of the National AI Strategy last September, a ten-year plan to ensure the UK becomes a global AI superpower. The country has invested more than £2.3 billion (€2.7 billion) in AI since 2014.

Marine commanders on the battlefield need access to better intelligence and AI tools for more rapid decision making, while higher-ranking commanders further from the tactical edge must accept that their picture may be less timely and complete and will focus more on pre-planning logistics, Marine Corps Commandant Gen. David Berger said Thursday. Speaking at a Hudson Institute event, Berger laid out his thoughts on how the Marine Corps must continue to transform to prepare for future potential fights against highly advanced adversaries like China and Russia. First, the Corps and the military must recognize that in highly contested environments with an advanced adversary, the Marine Corps will play a different role than it did during U.S. operations in the Middle East, and must be positioned forward before conflict starts, he said. "In a very simple sense, the way that I view it is: The most forward parts of the U.S. military in a contested environment, before shots are fired, are going to be special operations units, submarines, and Marines" Berger said. "If those three are forward persistently before, how do we stitch them together into some sort of framework where they can move information? Where they can--with some overlap, but not too much redundancy--cover the playing field?"

Italian and European authorities weren’t aware that a Chinese state-controlled company bought an Italian military-drone manufacturer and transferred its know-how and technology, revealing how Beijing is skirting weak investment-screening in Europe to acquire sensitive technology.

On Saturday, the UK government posted new rules governing the use of drones weighing over 250 grams (about half a pound), with input from the Department for Transport, the Civil Aviation Authority, and the Military Aviation Authority. The guidelines state that drone users will have to register their devices and undergo safety awareness testing to ensure that they're aware of UK security, privacy, and safety rules. "By registering drones, introducing safety awareness tests to educate users we can reduce the inadvertent breaching of airspace restrictions." "By registering drones, introducing safety awareness tests to educate users we can reduce the inadvertent breaching of airspace restrictions to protect the public."

"We are in a new era, one in which we are building systems that can't be grasped in their totality or held in the mind of a single person." In his book, Arbesman writes we're entering the entanglement age, a phrase coined by Danny Hillis, "in which we are building systems that can't be grasped in their totality or held in the mind of a single person." In the case of driverless cars, machine learning systems build their own algorithms to teach themselves -- and in the process become too complex to reverse engineer. My country has, because of huge digital divide a huge technological divide a huge internet of things analphabetism.

"We are in a new era, one in which we are building systems that can't be grasped in their totality or held in the mind of a single person." In his book, Arbesman writes we're entering the entanglement age, a phrase coined by Danny Hillis, "in which we are building systems that can't be grasped in their totality or held in the mind of a single person." In the case of driverless cars, machine learning systems build their own algorithms to teach themselves -- and in the process become too complex to reverse engineer. My country has, because of huge digital divide a huge technological divide a huge internet of things analphabetism.

AirMap is an app that gives drone pilots access to low-altitude navigational info. The wildfire alerts it gets from the US Department of the Interior is more up-to-date than the ones published by the Federal Aviation Administration. If you'll recall, the local government of California offered a 75,000 reward in 2015 to catch the drone pilots who flew their UAVs over three different forest fires. Authorities can override temporary restrictions by logging into authorized DJI accounts, though, so first responders can still use DJI's machines to assess affected locations.

There is huge potential for deep machine learning to become a valuable asset in the intelligence gathering space, according to Pentagon Deputy Secretary Robert Work -- it could ultimately allow U.S. forces to get an edge in the fight against the Islamic State of Iraq and Syria (ISIS, ISIL, IS) by providing greater insights into their networks and practices. The evaluative capabilities and intelligence gathering promise of deep machine learning, Work said, has already shown great potential through the use of publicly available materials on social media, which paint a clearer picture of the events surrounding the downing of Malaysian passenger airliner MH17. Growing tensions between Russia and China were also discussed as a point of concern around the potential for machines to be given lethal authority and how the U.S. might respond in such a case. "There are two things that really keep me up at night about this competition; the first is adversaries who will give machines lethal authority and how will we respond to that," he said.