Shulou(Shulou.com)06/02 Report--

Https://www.toutiao.com/a6690890709383250440/

2019-05-14 22:33:10

Artificial intelligence has become the most important traction force of the new round of military revolution, and the military field is being transformed in an all-round way, and the armed forces of many countries in the world are promoting intelligent transformation. and regard building an intelligent army and winning an intelligent war as the most important direction to occupy military competitive advantage.

According to the latest artificial Intelligence report released by the Defense No. 1 website in March this year, the US Department of Defense will make artificial intelligence a reality in 2019. The main contents are as follows: first, the United States wants to speed up the AI military and learn from private enterprises. The United States Joint artificial Intelligence Center will develop artificial intelligence tools and programs, and the government has worked with a number of small technology companies to carry out predictive maintenance in the operation. The Department of Defense is learning from the private sector, turning technology into decision-making and increasing the training of AI personnel. Second, the development momentum of artificial intelligence in China is very strong, but the shortcomings are obvious. Russia is slow in formulating a national artificial intelligence strategy, while China has a strong momentum of artificial intelligence development, but its hardware and algorithm development is weak, technical standards are low, innovative artificial intelligence framework capacity is insufficient and brain drain is serious, the report said. Third, the new breakthrough of AI can realize no face recognition. Portuguese researchers have discovered a method called idtracker.ai, which uses convolution neural networks (CNN) to some extent mimic the human and other mammalian brains to understand the world around them. AI can recognize and detect even if there is no face recognition. Fourth, the ethical issues of AI have become increasingly prominent. Us defense officials believe that the main guidance document for military artificial intelligence is too simplistic and call for a universal policy to meet public expectations of its ethical norms.

The Army uses brain activity signals to train artificial intelligence systems

Scientists at the US Army Research Laboratory are studying how to use human brain activity signals to train artificial intelligence systems to dynamically respond to the needs of soldiers, adaptively assist soldiers to complete tasks, and optimize the performance of human crews. The researchers performed magnetic resonance imaging on the brains of 30 subjects to map the organizational pathways that transmit information between the brain's nine cognitive systems, including attention, motor skills, visual and auditory systems. The researchers converted the tissue pathway map into a computational model to understand the working patterns between regions of the brain and ran a simulation system to show the effects of stimulation on specific brain regions. The Army Research Laboratory hopes to build an artificial intelligence system that can predict how tasks are accomplished by studying how different regions of the brain work together to accomplish tasks.

Research institutions under the U.S. Department of Defense are developing AI with understanding ability.

A quick understanding of real-world events is essential to inform national security efforts. The Defense Advanced Research projects Agency has created a schema-based knowledge-oriented artificial intelligence reasoning system project, which aims at contextual and temporal reasoning of complex real-world events. to generate an operational understanding of these events and predict how they will unfold. Specifically, the project will develop a semi-automated machine learning system that can sift through countless events and media clips generated every day, identify and draw clues to any connection or narrative relevance, and help users achieve a broad understanding of the world around them. The research goal will be divided into two stages: the first phase will focus on creating a schema library from a large amount of data by detecting, classifying and concentrating sub-events based on linguistic reasoning and common sense reasoning. The second phase will focus on applying the schema library created in the first phase to multimedia and multilingual information to discover and extract complex events. This phase requires AI to identify events, entities, and the relationships between them to help build and expand the knowledge base, and one of the key challenges is to make AI understandable.

Welcome to subscribe "Shulou Technology Information " to get latest news, interesting things and hot topics in the IT industry, and controls the hottest and latest Internet news, technology news and IT industry trends.