Hardware-based accelerators for real-time machine learning. This project will tackle the challenge of applying real-time machine learning to massive high-frequency data. This project will leverage advancements in machine learning and hardware synthesis to implement computationally complex machine-learning algorithms on hardware-accelerated platforms, avoiding overhead delays incurred by software running on a processor.
Performance Practice in New Interfaces for Realtime Electronic Music Performance. Results will be reported at national and international conferences both academic and commercial. Manuscripts will be prepared for submission to international refereed scholarly journals. Articles for rapid communication to a popular and commercial audience in areas of music technology, electronic arts, HCI and IT will also be prepared.
Towards a high density silicon phase change memory device. This project builds upon our exciting recent findings that amorphous silicon can be transformed to a conducting crystalline phase following small-scale indentation. Furthermore the process is reversible as re-indentation can induce a transformation back to insulating amorphous silicon. This process appears to occur in extremely small (nanoscale) volumes of silicon. We plan to explore the viability of exploiting this behaviour to develo ....Towards a high density silicon phase change memory device. This project builds upon our exciting recent findings that amorphous silicon can be transformed to a conducting crystalline phase following small-scale indentation. Furthermore the process is reversible as re-indentation can induce a transformation back to insulating amorphous silicon. This process appears to occur in extremely small (nanoscale) volumes of silicon. We plan to explore the viability of exploiting this behaviour to develop an entirely new information storage system: a high-density silicon phase change memory. This project aims to study small-scale transformation behaviour in silicon and to design demonstrator memory devices based on both micro-electromechanical systems and solid state technologies.Read moreRead less