Adapting to Shorter Time Cycles in the United States Air Force Proceedings of a Workshop Series (2021) / Chapter Skim
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6 Workshop Three, Part Two
6 Workshop Three, Part Two
Pages 72-88
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He suggested that this approach be considered specifically for artificial intelligence (AI)
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However, when satellite broadcast technology was adopted during the first Gulf War, anyone who saw a target broadcasted it, and anyone who was in the geographic region listening to the broadcast could shoot the target.
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satellites create a several-second response delay. He commented that if the objective is to achieve instant communications or shorter time cycles, it may be necessary to work with low-altitude satellites, a network of which can reach the whole world almost instantly.
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With the Quantum Wave under way, there is tremendous promise for quantum technologies, including many applications beyond quantum computing (which was first discussed in 1983) -- for example, communications, networks, imaging, medical imaging, sensing, timekeeping, positioning, gravimetry, magnetometry, and signal processing.
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For QPS, one would create an inertial navigation system with a clock and an inertial measurement unit, the latter of which contains an accelerometer and a gyroscope. He commented that cold atom technology could be used to build these and, within a few years, timekeeping and positioning could be at least as accurate as today's GPSdistributed time and positioning.
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While that works sufficiently for some consumer devices, he continued, it is not useful for many other applications. The quantum information chain includes quantum signals, quantum sensors, and quantum signal processing.
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Mr. Kaufman stated that the Federal Emergency Management Agency (FEMA)
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He observed that, in this case, the private sector supply networks and the public sector relief channel operated as two mostly separate flows -- there was no ability to see, monitor, and understand these parallel systems as a whole. All of the situational awareness, information, understanding of need, and operational understanding of truth on the ground was coming up through levels of the government because that is the way the system is designed.
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As a result, DoD had adopted an AI Strategy to accelerate AI adoption.3 This strategy includes delivering AI-enabled capabilities to address key missions; scaling AI impact across DoD through a common foundation and data management approach that enables a decentralized development and experimentation; cultivating a leading AI workforce; engaging with commercial, academic, and international allies and partners; and leading in military ethics and AI safety. She said that the acceleration of AI has to be a department-wide effort, but it will be synchronized and guided by the Joint Artificial Intelligence Center (JAIC)
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Automatic machine learning platforms make it possible for people to write software without writing code. Deep learning is AI research's latest breakthrough: Deep learning builds computer models of brains that can then be trained by experiences through images, for example.
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The common foundation is DoD's deep learning enabler. Not only does the common foundation serve as a platform for mission systems to build on but it also allows for the S&T to build on the same technology and potentially push new platforms, AI models, and new systems onto this common platform that has the ability to alter the key components of these systems.
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She acknowledged that China has been rapidly collecting data, but she did not know if China has a strategy for how to use them TABLE 6.1 Department of Defense Advanced Artificial Intelligence Adoption Roadmap Integrate AI-Now Engineering Applied Research Basic Research < 2 years 2-5 years 5-10 years > 10 years • GPU accelerators • Deep Neural Network ASICS • Quantum Infrastructure • Federated Data • FPGA Accelerators • Neuromorphic Computers Computing Management • Edge AI • Robotic Process • Data labeling and curation Data and Automation • Digital Modeling Services • Quantum software • AutoML & Commercial • Graph Analytics AI/ML and AI/ML AI Platforms • Federated DL/ML developer • Federated Reinforcement software Platforms toolkits • FOSS/GPR Repositories Learning platform • AutoDL and Model Zoos • Artificial • Commercial NLP • Computer Vision • Conversational UIs AI Services services • NLP • Explainable AI General Intelligence • Persistent Data • Representation and • Information Extraction • Autonomous Applications Management • Information Fusion Reasoning for DoD Vehicles • Big Data Analysis problems NOTE: AI, artificial intelligence; ASICS, application specific integration circuits; DL, deep learning; DoD, Department of Defense; FOSS, Engineering and Construction Company Limited; FPGA, field programmable gate array; GPR, ground penetrating radar; GPU, graphics processing unit; ML, machine learning; NLP, natural language processing.
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He added that AI is much more than deep learning, and the two should not be interchanged. Deep learning provides good representation, but it is only one component of AI.
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Cyber and physical attacks can subvert the sensors depended on for data, and all of this is related to homeland security, economic stability, and individual security. In addition to the time perspective, each line in Figure 6.2 indicates a flow of information in the knowledge supply chain, which includes several elements.
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Do "time cycles" accurately reflect how to consider time in operations? Cycles normally reflect repeated activity and most often apply to machines.
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Dr. Yarymovych explained that the world is on the precipice of a new concept of global domination, with machines performing better than humans and the advent of facial recognition technologies.
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. The challenge is to convince people to view the status quo as the crisis instead, he continued.
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