Hewlett Packard Enterprise (HPE) is angling its way into intergalactic travel. However, a nascent industry is beginning, built by the likes of Elon Musk, Richard Branson and Jeff Bezos who have invested in aerospace and spaceflight companies such as SpaceX, Virgin Galactic and Blue Origin respectively. HPE is undaunted by the long view it is taking to opening a new market. It is taking a baby step by putting its supercomputer into space in a collaboration with the National Aeronautics and Space Administration (Nasa). Called Spaceborne Computer, the supercomputer was installed at the International Space Station (ISS) last month for a one-year pilot to check if it can withstand the pull of gravity and harsh conditions of space.

On Thursday, July 20, China's State Council released the New Generation of Artificial Intelligence Development Plan. Numbering nearly 40 pages, the plan lays out China's aspirations in impressive detail. It introduces massive investment that aims to position China at the forefront of technological achievement by cultivating the governmental, economic, and academic ecosystems to drive breakthroughs in machine intelligence. To achieve these goals, the Council aims to harness the data produced by more the internet-connected devices of more than a billion Chinese citizens, a vast web of "intelligent things." The plan also details the strategic situation precipitating the need for a bold new vision: "Machine intelligence [is] the strategic technology that will lead in the future; the world's major developed countries are taking the development of AI as a major strategy… [We] must, looking at the world, take the initiative to plan [and] firmly seize the [technology] in this new stage of international competition.[i]"

The Senate's version of self-driving car legislation is escaping political limbo. Senators in the Commerce, Science and Transportation Committee have unanimously approved the AV START Act, which lets car makers pursue safety exemptions for autonomous vehicles based on production volume and gives states control over rules for registration, licensing, insurance and safety (though not performance). The measure now goes to the Senate floor, where it'll eventually face a vote. The House of Representatives had already passed its take on the bill in early September, so a Senate vote in favor would leave only the matter of reconciling the two bills and sending the result to the President's desk to sign. Both bills exempt self-driving big rigs in the wake of pressure from labor unions, which are worried both about safety and job security for truckers.

Army weapons developers recently completed a "proof-of-principle" exercise with Stryker vehicles using wireless devices, faster computer processing speed, cloud technology and artificial intelligence to expedite vehicle health monitoring and anticipate future needs for the platform. The initiative is tied to the Army's recent $135 million Army Logistics Support Activity (LOGSA) renewal deal with IBM, the firm contracted to continue providing cloud services, software development and cognitive computing, constituting the technical infrastructure. "We see huge potential benefits with cloud computing from artificial intelligence," Col. John Kuenzli, LOGSA commander, told Warrior. The concept behind the exercise with Stryker vehicles is to use AI to accelerate development of a fast-moving, data analytics-based wireless connectivity between sensors used for conditioned-based maintenance (CBM) and corresponding data analysis. The Army recently experimented with these emerging technological methods using cloud computing, data analysis and AI to track CMB data on several variants of Stryker vehicles.

A U.S. Senate panel on Wednesday unanimously gave the green light to a bill aimed at speeding the use of self-driving cars without human controls, a measure that also bars states from imposing regulatory road blocks. The bill still must clear a Senate vote, but it appears on track to passage. This should rev up profits for automakers, technology companies and ride service providers, hastening the day when their robot cars can carry passengers on the same U.S. roads as cars driven by people. Automakers would be able to win exemptions from safety rules that require human controls. States could set rules on registration, licensing, liability, insurance and safety inspections, but not performance standards.

\texttt{cleverhans} is a software library that provides standardized reference implementations of \emph{adversarial example} construction techniques and \emph{adversarial training}. The library may be used to develop more robust machine learning models and to provide standardized benchmarks of models' performance in the adversarial setting. Benchmarks constructed without a standardized implementation of adversarial example construction are not comparable to each other, because a good result may indicate a robust model or it may merely indicate a weak implementation of the adversarial example construction procedure. This technical report is structured as follows. Section~\ref{sec:introduction} provides an overview of adversarial examples in machine learning and of the \texttt{cleverhans} software. Section~\ref{sec:core} presents the core functionalities of the library: namely the attacks based on adversarial examples and defenses to improve the robustness of machine learning models to these attacks. Section~\ref{sec:benchmark} describes how to report benchmark results using the library. Section~\ref{sec:version} describes the versioning system.

Yes, 58 people are dead and scores more injured because a sniper with enough big guns to arm an infantry squad unloaded on an outdoor concert. But if you don't already know what a "bump stock" is, can't identify the difference between "fully automatic" and "modified semiautomatic" from the sound of the gunshots alone, or think "assault rifle" is actually a thing, well, maybe you should leave this argument to the experts. Because that kind of conversational hijacking--call it gunsplaining--is a big part of the reason a country with all the freedom and all the weapons can't seem to solve its death problem. So, yeah, if you want to engage, you better know what you're talking about. Automatic weapons--which keep firing as long as the trigger is depressed--are illegal for civilians to own. Semiautomatic weapons, which require a trigger pull for each shot, are not.

In this system data, information or knowledge which is more'uncertain' or more difficult to obtain should attract the highest ENT value as its information content is highest. On the other hand, data which is commonplace, known or easily obtainable has a lower information content and hence less ENT value.

The bill still must be approved by the full Senate. The U.S. House passed a similar version last month unanimously. General Motors Co, Alphabet Inc, Ford Motor Co and others have lobbied for the landmark legislation. Despite some complaints from Republicans, the Senate bill does not speed approval of self-driving technology for large commercial trucks after labor unions raised safety and employment concerns.

Peter Sondergaard, head of research at Garter, speaks at the opening keynote of Gartner Symposium 2017. "AI will be a net job creator starting in 2020," said Peter Sondergaard on Monday morning at Gartner Symposium. Gartner's research chief couldn't have opened the company's flagship conference with a more astounding proclamation if he had claimed that next year's event would be held on the International Space Station and Gartner was offering free rides. The question of how artificial intelligence and robots will affect jobs has been one of the darkest shadows looming over the 21st century. Songergaard stated that by 2020 AI will automate 1.8 million people out of work, but it will create 2.3 million jobs.