US Air Force funds Explainable-AI for UAV tech


Z Advanced Computing, Inc. (ZAC) of Potomac, MD announced on August 27 that it is funded by the US Air Force, to use ZAC's detailed 3D image recognition technology, based on Explainable-AI, for drones (unmanned aerial vehicle or UAV) for aerial image/object recognition. ZAC is the first to demonstrate Explainable-AI, where various attributes and details of 3D (three dimensional) objects can be recognized from any view or angle. "With our superior approach, complex 3D objects can be recognized from any direction, using only a small number of training samples," said Dr. Saied Tadayon, CTO of ZAC. "For complex tasks, such as drone vision, you need ZAC's superior technology to handle detailed 3D image recognition." "You cannot do this with the other techniques, such as Deep Convolutional Neural Networks, even with an extremely large number of training samples. That's basically hitting the limits of the CNNs," continued Dr. Bijan Tadayon, CEO of ZAC.

Elon Musk, DeepMind and AI researchers promise not to develop robot killing machines

The Independent - Tech

Elon Musk and many of the world's most respected artificial intelligence researchers have committed not to build autonomous killer robots. The public pledge not to make any "lethal autonomous weapons" comes amid increasing concern about how machine learning and AI will be used on the battlefields of the future. The signatories to the new pledge – which includes the founders of DeepMind, a founder of Skype, and leading academics from across the industry – promise that they will not allow the technology they create to be used to help create killing machines. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar.

Leading AI country will be 'ruler of the world,' says Putin


Russian President Vladimir Putin warned Friday (Sept. AI development "raises colossal opportunities and threats that are difficult to predict now," Putin said in a lecture to students, warning that "it would be strongly undesirable if someone wins a monopolist position." Future wars will be fought by autonomous drones, Putin suggested, and "when one party's drones are destroyed by drones of another, it will have no other choice but to surrender." U.N. urged to address lethal autonomous weapons AI experts worldwide are also concerned. On August 20, 116 founders of robotics and artificial intelligence companies from 26 countries, including Elon Musk and Google DeepMind's Mustafa Suleyman, signed an open letter asking the United Nations to "urgently address the challenge of lethal autonomous weapons (often called'killer robots') and ban their use internationally."

UAV-GESTURE: A Dataset for UAV Control and Gesture Recognition Machine Learning

Current UAV-recorded datasets are mostly limited to action recognition and object tracking, whereas the gesture signals datasets were mostly recorded in indoor spaces. Currently, there is no outdoor recorded public video dataset for UAV commanding signals. Gesture signals can be effectively used with UAVs by leveraging the UAVs visual sensors and operational simplicity. To fill this gap and enable research in wider application areas, we present a UAV gesture signals dataset recorded in an outdoor setting. We selected 13 gestures suitable for basic UAV navigation and command from general aircraft handling and helicopter handling signals. We provide 119 high-definition video clips consisting of 37151 frames. The overall baseline gesture recognition performance computed using Pose-based Convolutional Neural Network (P-CNN) is 91.9 %. All the frames are annotated with body joints and gesture classes in order to extend the dataset's applicability to a wider research area including gesture recognition, action recognition, human pose recognition and situation awareness.

Leading AI companies and researchers pledge to not develop lethal autonomous weapons


More than 2,400 researchers, scientists, engineers, entrepreneurs and others have signed a pledge – organised by the Future of Life Institute (FLI) – promising not to develop lethal autonomous weapons. In addition to many prominent individuals, the list of signatories also includes over 160 AI-related firms and organisations from around the world – such as Google DeepMind, XPRIZE Foundation, University College London, the European Association for AI (EurAI), Swedish AI Society (SAIS), ClearPath Robotics and OTTO Motors. The pledge is being announced today at the annual International Joint Conference on Artificial Intelligence (IJCAI) in Sweden, which draws over 5,000 of the world's leading AI researchers. Artificial intelligence (AI) is poised to play an increasing role in military systems. There is an urgent opportunity and necessity for citizens, policymakers, and leaders to distinguish between acceptable and unacceptable uses of AI.