Another use is to enhance interactions in the contact center. Intelligent spectrum management will use a unified intelligent geo-location spectrum database, augmented by spectrum sensing, spectrum management technologies using AI & machine learning ML tools. It should be noted that the scope of this white paper is on the use of AI in the access part of the network and not on the core Internet as it is dealt with already by the core network equipment manufacturers and fixed network providers. Weaponized artificial intelligence is almost here. The deep, dark void of space is a place you really want your communications systems to work. In particular, it is communication that provides the science with its definitive test case and experimental evidence. Future developments of intelligent spectrum management systems will need the necessary technical co-existence framework which will utilize AI inspired interference mitigation and regulatory mechanisms to make smart spectrum sharing work in all bands of interest. Executive Summary. Some organizations already use the technology to transform raw data into personalized communications that explain how each investor is progressing toward their goals, reports the Financial Brand . This dissertation provides the theory, design, and implementation of a cognitive engine, the enabling technology of cognitive radio. Intelligent spectrum management (ISpM) techniques are therefore needed to support the complex future wireless network resource and service requirements including the high bandwidth demand use cases in emerging heterogeneous network technologies evident in 5th generation and beyond. If we can teach machines to identify what makes the audience respond (trust, engage, listen, act) and then equip the robot or device to measure all the factors in those communications (how we use our words, voices, gestures) that may affect those reactions, then we can use data science and algorithms to build an intellectual machine that can enhance how we communicate. “Hybrid Thinking,” an interaction between human and cyber intelligence that is the next huge leap in thinking. The situation is rather different in communication systems, where the information signals are manmade, the propagation channels are relatively easy to model, and we know how to operate close to the Shannon capacity limits. 'Strong' AI is usually labelled as AGI (Artificial General Intelligence… As modern communications systems increase in both quantity and complexity, the need for sophisticated, intelligent algorithms in the signal characterization space concurrently rises. Beginning from grade school, there’s a viewpoint that you can be great in math and science or good at writing and speaking, however not in both. — https://www.ibm.com/developerworks/community/blogs/jfp/entry/What_Is_Machine_Learning?lang=en. Artificial Intelligence (AI), Machine Learning (ML) are hot topics nowadays and have achieved huge breakthroughs in the recent years and months. IBM. Learn how DeepSig applies artificial intelligence and deep … Some major issues may slow down the adoption of AI by the industry. https://spinsucks.com/communication/artificial-intelligence-in-communications/. Does this mean that there is no role for deep learning in the development of future communication systems? Standards organizations, telecom operators, research institutes and service providers agree that a new spectrum management paradigm is required to replace the static spectrum allocation which awards spectrum chunks to specific users in specific areas for a specified period of time. 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