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.

America's space agency is entering the second phase of a four-step plan to draw up rules for small drones that fly under 500 feet. The NASA project is meant to develop performance standards for drones that would be used for commercial purposes by companies such as Amazon and Google. The system will be designed to help drone operators deal with weather conditions, restricted air space, airport congestion, and other obstacles. NASA is looking to present its research to the Federal Aviation Administration by the end of 2019. By that time, it estimates there will be 7 million small drones in operation, including 2.6 million aircraft for commercial use.

Fintech reloaded maps out a strategy showing how traditional banks should become a digital platform.

Uber may be gaining riders. It may be on the cutting edge of developing self-driving car technology. That's according to details given by Gautam Gupta, Uber Technologies Inc.'s finance head, who in a recent conference call with Uber investors said the ride-hailing giant lost at least 1.27 billion during the first half of this year. In a report Thursday, Bloomberg cited "people familiar with the matter" as saying Gupta gave the money-losing score last week as part of an update that the privately held San Francisco company gives to its investors and shareholders every three months. According to those sources, Uber lost about 520 million before interest, taxes, depreciation and amortization during the first quarter of the year, and its second-quarter losses ballooned to more than 750 million.