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artificial intelligence (AI) technologies, based on hardware inspired by the structure and function of the brain for superior energy and latency performance in embedded and human-centric applications. We offer
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and implementing an embedded optimisation algorithm on representative hardware platforms to demonstrate feasibility and real-time performance. The primary application will be autonomous 6-DoF Moon
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, Cranfield fosters innovation through applied research, bridging academia and industry. Students will have access to state-of-the-art laboratories, hardware/software resources, and design facilities
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this testbed available to users for testing hardware and applications. NPL will lead on the testing and security evaluation of the testbed and collaborate widely on the technology development. The student’s
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Everyone is talking about artificial intelligence. But who is developing the necessary chips? We are, for example! Would you like to help drive the development of a new highly efficient AI hardware
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sensing hardware into a high-throughput sorting line is a plus. Proficient in developing, training, and deploying AI-driven sensor-fusion pipelines, including preprocessing, deep-learning model
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-house. For this, knowledge of swarm robotics hardware and software is required. You will also work closely together with our VR lab to ensure the creation of comparable virtual worlds in which robots and
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interoperability and always-on artificial intelligence. To achieve the vision, research will focus on improving the hardware for both 6G devices and space-based satellites, developing signal processing methods
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significantly reduce the amount of vibration data to be stored on edge devices or sent to the clouds. Hence, this project's results will have a high impact on reducing the hardware installation and operation
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equipment, and have access to valuable industry data. The student will benefit from opportunities to present at leading international conferences. Additional training in software-defined radio, hardware-in