Government
DJI's drone 'privacy mode' is now available
In August, DJI announced that it would be introducing Local Data Mode to its line of drones, a setting that would cut drones off from internet activity and stop information like flight location from being uploaded to the company's servers. Well that privacy mode is now available through a DJI Pilot app update for DJI CrystalSky monitors and some Android tablets. "We are creating Local Data Mode to address the needs of our enterprise customers, including public and private organizations that are using DJI technology to perform sensitive operations around the world," Brendan Schulman, DJI's VP of policy and legal affairs, said in a statement. While the announcement of the new setting noted that it had been in the works for some time, it did come after the US Army stopped using DJI drones due to "increased awareness of cyber vulnerabilities." The Australian Defense Force also ceased use of DJI drones temporarily, but began using them again following a two week security assessment.
Hybrid drone takes off like helicopter and fly like plane
Futuristic hybrid drones with both a helicopter and airplane mode are set to revolutionise warfare, experts claim. Engineers have unveiled an ambitious new concept for adaptable unmanned aerial vehicles (UAVs) which are so agile they can take off and land like a helicopter and still fly like plane. Experts believe the drones of the future, which will alternate between fixed-wing flight and rotary-wing flight, could be deployed by soldiers in the next few decades. The new technology concept – named Adaptable UAVs – can alternate between the two different flight modes in the same mission. When in rotary wing mode the UAVs can be launched and recovered from battlefields and can also hover and achieve vertical take-off and landing.
California Inc.: The impact of DACA on state's agriculture industry
Welcome to California Inc., the weekly newsletter of the L.A. Times Business Section. Data breaches remain a dark cloud over the business world. On Friday, Whole Foods became the latest company to report getting hacked. Days earlier, the burger chain Sonic said it too had been hit. And Equifax continues making news with its mega-breach involving 143 million consumers.
Air Strike Kills Seven Hezbollah Fighters in Syria-Sources
BEIRUT (Reuters) - An air strike carried out by an unidentified warplane killed seven Hezbollah fighters in eastern Syria, three sources familiar with the incident told Reuters on Monday. The identity of the warplane was not confirmed, but the sources did not rule out the possibility that it was Russian "friendly fire". The sources did not say when the air strike happened. The air strike struck a Hezbollah position in eastern Homs province, where the Iran-backed Lebanese group is fighting Islamic State alongside the Syrian and Russian militaries. Asked about a report that a U.S. drone carried out the strike, the spokesman of the U.S.-led Coalition said the location was outside its area of operations.
Will Artificial Intelligence create new jobs or destroy them?
As the government faces a difficult choice in keeping up with the rest of the world in AI development while making sure it does not add to unemployment, it has set up a task force to draw up a policy for the accelerated deployment of AI. A government task force is seeking public opinion on deploying artificial intelligence in manufacturing, healthcare, agriculture and the Aadhaar programme. The task force, set up in August, has been asked to draw up a policy for the accelerated deployment of AI and a five-year road map for its use in government and industry research programmes. "The job of the task force is to look at how we can use AI and the topic is so big we thought the public should also participate in it," said V Kamakoti, professor of IIT Madras, who is chairing the task force. The task force includes Gautam Shroff, vice-president and chief scientist at TCS Research; Ashwini Asokan, co-founder and chief executive officer of AI startup Mad Street Den; GH Rao, head of engineering and R&D services at HCL Technologies; and representative from various ministries.
Artificial Intelligence Research in Singapore: Assisting the Development of a Smart Nation
Varakantham, Pradeep (Singapore Management University) | An, Bo (Nanyang Technological University) | Low, Bryan (National University of Singapore) | Zhang, Jie (Nanyang Technological University)
Artificial intelligence (AI) research in Singapore is focused on accelerating the country's development into a smart nation. Specifically, AI has been employed extensively in either augmenting the intelligence of humans or in developing automated methods and systems to improve quality of life in Singapore. In this column we summarize Singapore's Our focus in this column is primarily limited to the efforts of Singapore to become a smart nation. The key areas of AI research summarized here include mobility, security, manufacturing, and health care. In addition, there are also translational domain has taken a number of interesting directions.
AAAI News
In 2018, a advances in research, education, limited number of complimentary The goal of this program is to provide and application. Submissions are due technical program registrations will be a forum in which students can present November 15. View previous entries available for students who volunteer and discuss their work during its early and award winners at the AI Videos during the conference. Preference will stages, meet some of their peers who Past Competitions page (www.
Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence
Anderson, Monica (University of Alabama) | Barták, Roman (Charles University) | Brownstein, John S. (Boston Children's Hospital, Harvard University) | Buckeridge, David L. (McGill University) | Eldardiry, Hoda (Palo Alto Research Center) | Geib, Christopher (Drexel University) | Gini, Maria (University of Minnesota) | Isaksen, Aaron (New York University) | Keren, Sarah (Technion University) | Laddaga, Robert (Vanderbilt University) | Lisy, Viliam (Czech Technical University) | Martin, Rodney (NASA Ames Research Center) | Martinez, David R. (MIT Lincoln Laboratory) | Michalowski, Martin (University of Ottawa) | Michael, Loizos (Open University of Cyprus) | Mirsky, Reuth (Ben-Gurion University) | Nguyen, Thanh (University of Michigan) | Paul, Michael J. (University of Colorado Boulder) | Pontelli, Enrico (New Mexico State University) | Sanner, Scott (University of Toronto) | Shaban-Nejad, Arash (University of Tennessee) | Sinha, Arunesh (University of Michigan) | Sohrabi, Shirin (IBM T. J. Watson Research Center) | Sricharan, Kumar (Palo Alto Research Center) | Srivastava, Biplav (IBM T. J. Watson Research Center) | Stefik, Mark (Palo Alto Research Center) | Streilein, William W. (MIT Lincoln Laboratory) | Sturtevant, Nathan (University of Denver) | Talamadupula, Kartik (IBM T. J. Watson Research Center) | Thielscher, Michael (University of New South Wales) | Togelius, Julian (New York University) | Tran, So Cao (New Mexico State University) | Tran-Thanh, Long (University of Southampton) | Wagner, Neal (MIT Lincoln Laboratory) | Wallace, Byron C. (Northeastern University) | Wilk, Szymon (Poznan University of Technology) | Zhu, Jichen (Drexel University)
Deep learning and machine learning tailored toward a specific Next to convex optimization, contributed were hot topics, and the workshop application. It is now recognized that papers addressed the problems included papers from across the globe formal languages, and their symbolic of symbolic stochastic planning on deep reinforcement learning agents underpinnings, can enable descriptive and shortest path problems.