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Details of Grant 

EPSRC Reference: EP/Y036077/1
Title: Perfect Recollection for clearer insight
Principal Investigator: Mullins, Dr RD
Other Investigators:
Chauhan, Dr J Koch, Dr D Weddell, Dr AS
Researcher Co-Investigators:
Project Partners:
His Majesty's Government Communications The Alan Turing Institute
Department: Computer Science and Technology
Organisation: University of Cambridge
Scheme: Standard Research - NR1
Starts: 01 March 2024 Ends: 28 February 2026 Value (£): 1,037,935
EPSRC Research Topic Classifications:
Artificial Intelligence Fundamentals of Computing
Mobile Computing
EPSRC Industrial Sector Classifications:
Aerospace, Defence and Marine Information Technologies
Related Grants:
Panel History:  
Summary on Grant Application Form
The ability to pair sensors with increasing amounts of local compute and machine learning promises to be a powerful tool in fields such as healthcare, environmental monitoring, autonomous vehicles, robotics, earth observation and more. However, a common challenge in these applications is that systems often operate in environments where power, weight, size and communication options are restricted. Unfortunately, this severely limits the capabilities of current systems, which often discard large amounts of data before its true value is known.

This project aims to enhance the performance of such sensing systems by leveraging very large memories. We focus on extracting more precise and nuanced insights from data on edge sensor devices that are constrained by power and communication, but not by memory. Ultimately, our objective is to develop memory-centric systems capable of extracting larger volumes of valuable information from sensor data in a timely and energy-efficient manner.

Key Findings
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Summary
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Further Information:  
Organisation Website: http://www.cam.ac.uk