Knowledge graph construction consists of two tasks: extracting information from external resources (knowledge population) and inferring missing information through a statistical analysis on the extracted information (knowledge completion). In many cases, insufficient external resources in the knowledge population hinder the subsequent statistical inference. The gap between these two processes can be reduced by an incremental population approach. We propose a new probabilistic knowledge graph factorisation method that benefits from the path structure of existing knowledge (e.g. syllogism) and enables a common modelling approach to be used for both incremental population and knowledge completion tasks. More specifically, the probabilistic formulation allows us to develop an incremental population algorithm that trades off exploitation-exploration. Experiments on three benchmark datasets show that the balanced exploitation-exploration helps the incremental population, and the additional path structure helps to predict missing information in knowledge completion.

DARPA wants to exploit the power of the internet of things to help the U.S. dominate battlefields. The Defense Advance Research Projects Agency will fund the development of sensors and artificial intelligence systems that could help break into, extract, and analyze information from enemy devices and communication systems. The components and systems will arm the U.S. with more data to analyze enemy moves and strategy. Information is king in wars, and DARPA wants to develop technology that can break into enemy systems. "They are talking about going into any situation and extracting information at any time, [with] artificial intelligence systems that can attack and hack any network," said Jim McGregor, principal analyst at Tirias Research.

A CSRA subsidiary has been awarded a 7.5 million contract to help the U.S. Air Force develop new approaches for analyses of the trust calibration process to facilitate human-machine collaborations, Military & Aerospace Electronics reported Monday. John Keller writes SRA International will develop concepts to help aircraft pilots, intelligence analysts and maintenance technicians build trust with robots. The Air Force also wants SRA to develop new methods to execute human-robot teaming exercises, calibrate trust and maintain transparency in human-machine contexts, according to the report. SRA will also work to blend human-robot teams with socio-emotional components of interpersonal team and trust dynamics, Keller reports. The company will perform work at Wright-Patterson Air Force Base in Dayton, Ohio through March 2023, Military & Aerospace Electronics reports.

Among several new trends being pushed pumped out of the Defense Department's research offices under the guise of the Third Offset strategy -- an initiative that seeks to leverage manned-unmanned teaming to counteract adversarial capabilities -- is the concept of cognitive electronic warfare. Cognitive EW seeks to leverage artificial intelligence to adapt to rapidly changing electromagnetic surroundings in the field. The Air Force Research Lab has recently released a request for information in navigation warfare research assistance from the contracting community that includes electronic attack, electronic protection and electronic support techniques for cognitive EW applications, among other similar research areas to bolster operations in environments in which communications and navigation could be degraded or disrupted. Aircraft, upon deploying for a particular mission, have a library of profiles to counter an adversary's attempt to jam its radar. However, with the proliferation and increasing proficiency of certain adversaries in this space, such as Russia, there is a growing sense of inadequacy.

The former Young Astronaut in me jumped at General Motors' offer to play with the RoboGlove. Who would pass up a chance to flex space-aged superhuman strength? I traveled to GM's Warren, Michigan Technical Center, where its robotics program lives. I didn't know that one of the famed Robonauts would be at GM to greet me along with the engineers who helped build it. The RoboGlove is the offspring of Robonaut (known as R2, naturally) the human safe robot that's been touring space aboard the International Space Station.

Israel is planning to bolster its high-tech arsenal by deploying fully autonomous military vehicles along the country's dangerous border with Gaza. "This is the future -- the border is a very dangerous place," an Israel Defense Forces (IDF) official told FoxNews.com, citing the threat of Improvised Explosive Devices (IEDs), snipers, anti-tank missiles and terrorist tunnels. "Sending unmanned vehicles to do these patrols means that troops lives' are not at risk." Working with Israeli defense specialist Elbit Systems, IDF has equipped Ford F-350 pickup trucks with specialized remote driving technology. The trucks, dubbed Border Protector Unmanned Ground Vehicles (UGVs), are also fitted with four driving cameras and a 360-degree observation camera to help operators identify threats.

Three years ago, Jeff Bezos announced that drones are eventually going to deliver Amazon orders. In the past year, he brought out Amazon's Alexa artificial intelligence service, which understands speech well enough that you can say, "Alexa, I really need a waffle cone maker," and she'll put one in your Amazon online shopping cart, even though nobody needs a waffle cone maker. Both of these technologies--drones and cloud AI--are exciting today, yet still wobbly works in progress. But in coming years, Amazon or some other company is going to put them together. And that, finally, will evolve into a technology that could become as significant to humans as domesticated dogs.

Dramatic success in machine learning has led to a torrent of Artificial Intelligence (AI) applications. Continued advances promise to produce autonomous systems that will perceive, learn, decide, and act on their own. However, the effectiveness of these systems is limited by the machine's current inability to explain their decisions and actions to human users. The Department of Defense is facing challenges that demand more intelligent, autonomous, and symbiotic systems. Explainable AI--especially explainable machine learning--will be essential if future warfighters are to understand, appropriately trust, and effectively manage an emerging generation of artificially intelligent machine partners.

SHANGHAI/HONG KONG The Chinese government said on Friday it was investigating two high-profile takeover proposals involving U.S. companies, the latest sign of its growing influence on whether deals are approved - even those appearing to have little impact in China.

I can't remember whose idea it was to go out for lunch. It might have been my idea. Of course it was my idea. I start thinking about lunch the second that last morsel of granola hits my taste buds and disappears down that endless cavern known as my belly. Should we order a salad?