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-generation AI hardware (ASIC) accelerators. The UK's Advanced Research Invention Agency (ARIA) is supporting an ambitious programme of work that aims to reduce the the cost of AI by more than 1000x: https
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AI technologies that will revolutionize how we understand and respond to human behaviour in both real-time and long-term contexts. You will play a crucial role in the testing and design of novel
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challenge, making energy-efficient computing a critical research priority. This project addresses this challenge through a novel co-design approach that simultaneously optimizes both hardware and software
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the problem of how to build hardware and/or software agents that can autonomously act on our behalf in pursuit of delegated preferences has been studied continually, albeit mostly in the context of classic AI
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, available for up to 30 months, tenable immediately, to conclude before May 31st 2028. Intelligent agents have a venerable history in AI: since the 1980s the problem of how to build hardware and/or software
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bottlenecks and optimization strategies. The digital twin will serve as a testbed for evaluating engineering trade-offs and guiding future hardware development. The appointed researcher will collaborate with
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of biological brains. Spiking neural networks (SNNs) can offer increased processing speed and reduced power consumption, especially when implemented on dedicated hardware (neuromorphic chips or FPGAs). Standard
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ecosystems. About The Role The post-holder will lead the design and realisation of a state-of-the-art multiphoton microscope that couples ultrafast femto- and picosecond laser excitation with high-speed
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AI technologies that will revolutionize how we understand and respond to human behaviour in both real-time and long-term contexts. You will play a crucial role in the testing and design of novel
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network telemetry, and the implementation of new hardware support mechanisms. Your role will include the design, implementation and evaluation of different parts in the system, and the integration with