Convergence references

Convergence references

An Imperial College London team by Professor Bruno Clerxkx is researching novel ways to develop WIPT (Wireless Information and Power Transfer) for smart-devices and investigating the future communication paradigms involved in the next 6G network. The Centre for Terahertz Science and Engineering is investigating the ThZ Band spectrum in multiple applications, from visible light communication to power delivery.

Imperial’s NGINI (Next Generation Neural Interfaces) Team and Dr Niloufar Reishosseini are separately investigating the technology of memristors, brain inspired computational architectures that show promise of more energy-efficiency in computation at a smaller scale than Moore’s Law allows. This will be possible through memory technology features that supersede the capabilities transistor technology. These components are the best candidates for use in brain-computer interfaces.

An Imperial College London group guided by Dr Thomas Hoye of the Department of Materials have recently developed environmentally friendly materials that could harvest enough energy from indoor light to power wireless smart devices.

Professor Rylie Green from the Department of Bioengineering is developing conductive polymers for bionic devices and living electrodes towards the application in medical conditions that can be treated by electrical interactions, such as blindness and deafness, but also epilepsy and Parkinson’s.

Other references

Large intelligent hyper-surfaces in 6G network

Wireless energy transfer for IoT devices in 6G network

Energy harvesting materials for IoT devices

Data inputs for AI progress

Memristors and Moore’s law

Memristors for low-power IoT devices

Memristors for brain-machine interfaces and new electronics

Automated references

Automated references

At Imperial, the ROAR (Rapid Online Analysis of Reactions) research group participate in the EPSRC-funded challenge DIAL-A-MOLECULE, using AI driven synthetic methodologies to investigate the possibility to make any molecule at will and on a meaningful timescale, with the possibility to unlock hitherto unimagined opportunities for future scientific advance that addresses societal challenges.

Imperial College London research on functional materials led by Professor Camille Petit investigates novel metal-oxide architectures that could perform various tasks simultaneously, from filtering water to produce solar fuels. AI-driven design of such molecules could become a reality with the advent of big data science.

Other references

Future of the automated lab

AI solves protein folding problem

Imperial College London ROAR centre for automated synthesis

AI develops an unimaginable quantum future

Automation and robotics can speed up scientific discovery

Engineered timber for embedded CO2 in urban and city development