Senior Research Fellow 2023
Today’s intelligent and data-centric applications are redefining the role and requirements of memory technology in computing systems. Most current systems use separate memory and computing chips, resulting in power consumption, bandwidth, latency and overall performance challenges. This problem is especially pronounced in low-power devices, where current memory technology (embedded flash) can no longer be scaled down to integrate into the same chip with modern processors. Ultimately this prevents us from adding intelligence and automation to monitoring sensors, consumer electronics, robotics in manufacturing, autonomous vehicles and many more systems without relying on internet connection and “cloud” computing. This research programme will develop new memristor technology that removes this limitation. The programme goal is to allow the integration of fast, cheap and very low-power memory on the same chip as advanced processors and explore emerging analogue and neuromorphic computing paradigms to enable vastly greater artificial intelligence capabilities using significantly less energy in small, low-power devices.
Personal website: https//www.ucl.ac.uk/electronic-electrical-engineering/people/dr-adnan-mehonic
Intrinsic website: https://www.intrinsicsemi.com/
Twitter: @AdnanMehonic
Department Twitter: @ucleeenews
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