Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. The former head of Britain's state-owned Post Office said Tuesday she will hand back a royal honor in response to mounting fury over a miscarriage of justice that saw hundreds of postmasters wrongfully accused of theft because of a faulty computer system. The British government is considering whether to offer a mass amnesty to more than 700 branch managers convicted of theft or fraud between 1999 and 2015, because Post Office computers wrongly showed that money was missing from their shops. The real culprit was a defective accounting system called Horizon, supplied by the Japanese technology firm Fujitsu.

Adam Oliner, co-founder and CEO of Graft used to run machine learning at Slack, where he helped build the company's internal artificial intelligence infrastructure. Slack lacked the resources of a company like Meta or Google, but it still had tons of data to sift through and it was his job to build something on a smaller scale to help put AI to work on the dataset. With a small team, he could only build what he called a "miniature" solution in comparison to the web scale counterparts. After he and his team built it, however, he realized that it was broadly applicable and could help other smaller organizations tap into AI and machine learning without huge resources. "We built a sort of mini Graft at Slack for driving semantic search and recommendations throughout the product. And it was hugely effective … And that was when we said, this is so useful, and so powerful if we can get this into the hands of most organizations, we think we could really change the way people interact with their data and interact with AI," Oliner told me.

Artificial Intelligence is rapidly changing the environments of just about everything - from translation to speech recognition to jobs to decision-making processes. AI, with its thousands of promised benefits, is positioned to affect just about every business around the globe. But with all the hype surrounding what AI can automate and relieve human beings from manually having to do themselves, is AI truly the blessing it's presented itself to be - or a curse? The question doesn't arise from the skepticism on whether machines will become too intelligent or learn to the point of a robot takeover. While AI is fascinating and the stuff of science fiction, its emergence also raises many concerns, especially in its applications.

Docugami, a startup aiming to reinvent the way businesses create and extract information from documents, has raised an extraordinary $10 million in seed funding led by Silicon Valley venture fund SignalFire, with participation from NextWorld Capital and a large number of veteran tech execs and angel investors. The company, based in Kirkland, Wash., also announced Bob Muglia, the former Snowflake CEO and longtime Microsoft exec, as a "major investor" and board member. Docugami is led by co-founder and CEO Jean Paoli, a co-creator of the industry-wide XML 1.0 standard, Microsoft InfoPath and modern Microsoft Office file formats. The startup's technology uses artificial intelligence to help users create documents such as contracts and reports that can then be analyzed in the aggregate as if the contents were stored in a structured database. Docugami says it's creating new AI techniques using machine learning, computer vision, natural language processing and unique XML approaches.

Bill Stasior, the former head of Apple's Siri division, is leaving the company after nearly a decade to join Microsoft's artificial intelligence division, reports The Information. Although Stasior left Apple in May, he's only joining Microsoft later this month as a corporate vice president, reporting to Chief Technology Officer Kevin Scott. Stassior worked at Apple for more than seven years, joining back in 2012. Stasior's departure seems less an indictment of the current state of Siri and more a reflection of the reality of AI at Apple. Last year, the iPhone maker poached John Giannandrea from Google, where he was a former head of search and AI. At the time of Giannandrea's hiring, the move was considered an admission from Apple that its current AI efforts were lackluster and needing revamping, evidenced by Siri falling far behind Google Assistant and Amazon's Alexa in sophistication and industry adoption.

UnitedHealth has dozens of data scientist positions open, according to its jobs page, and start-ups like Devoted Health and Oscar Health, which includes Alphabet as an investor, are taking on industry incumbents through digital tracking tools, analytics and easy-to-use apps. Anthem and other legacy insurers are moving ahead to modernize. "It seems like both an offensive and defensive move," said Ari Gottlieb, principal at A2 Strategy Group, which specializes in health insurance. "It suggests that they won't want to lose customers to rival health plans, both start-ups and established players, which are also making investments in technology and customer experience." Gottlieb said that in hiring Manber, Anthem is working towards "leveraging the huge amount of data they have to drive improved health outcomes."

As China becomes more active in artificial intelligence, the U.S. should double the amount it spends on research in the field, says investor and AI practitioner Kai-Fu Lee, who has worked for Google, Microsoft and Apple. The comments come after various parts of the U.S. government have made AI announcements, even as the U.S. overall lacks a formal AI strategy. Meanwhile, China introduced its plan last year: it's aiming to be No. 1 in AI innovation by 2030. "Double the AI research budget would be a good start, given that all other countries are so much farther behind U.S., and we're looking for the next breakthrough in AI," said Lee. Doubling funding could double the chances that the next big AI achievement will be made in the U.S., Lee told CNBC in an interview this week. Lee,, whose book "AI Superpowers: China, Silicon Valley and the New World Order" was published this month by Houghton Mifflin Harcourt, is CEO of Sinovation Ventures, which has invested in one of the most prominent AI companies in China, Face .

IEEE Spectrum: Why do you believe that China will soon match or even overtake the United States in developing and deploying AI? Kai-Fu Lee: The first and foremost reason is that we've transitioned out of an era of discovery--when the person who makes the discovery has a huge edge--and into an era of implementation. The algorithms for AI are pretty well known to many practitioners. What matters now is speed, execution, capital, and access to a large amount of data. In each of these areas, China has an edge. That's why I began the book by talking about China's entrepreneurism.

Tesla's former head of engineering Doug Field is back working with Apple after he took a sudden leave of absence from the Elon Musk firm back in May. In July, it was confirmed the senior engineer would not be returning to Tesla and is instead back with Apple - the company he left five years ago. He will be working on Apple's secretive'Project Titan' autonomous vehicle team, which been running since mid-2016. The two companies have fought over Silicon Valley talent for years with Tesla's CEO Elon Musk once describing Apple's car project as a'Tesla graveyard'. Tesla's former head of engineering Doug Field is back with Apple after first taking a sudden leave of absence back in May.

That debate comes down to whether or not the current approaches to building AI are enough. With a few tweaks and the application of enough brute computational force, will the technology we have now be capable of true "intelligence," in the sense we imagine it exists in an animal or a human? On one side of this debate are the proponents of "deep learning"--an approach that, since a landmark paper in 2012 by a trio of researchers at the University of Toronto, has exploded in popularity. While far from the only approach to artificial intelligence, it has demonstrated abilities beyond what previous AI tech could accomplish. The "deep" in "deep learning" refers to the number of layers of artificial neurons in a network of them.