AI and intelligent systems

The Greenland Subglacial Lake Observatory

Innovative MachIne leaRning to constrain Aerosol-cloud CLimate Impacts

This fellowship renewal envisages how to achieve chip-scale integration for multimode SDM transceivers packing intelligent optical beamforming powered by generalised machine learning.

Agri-Tech for Sustainable Development: Crop Yield Prediction, Evaluation and Improvement.

DREAM - Data Communication, Processing, and Delivery in the Era of Machines

This project aims to develop RRAM devices capable of suppressing sneak currents by engineering conduction non-linearity through the inclusion of additional insulating layers in the memory cell.

Deep Model-based Optimization for Graph-structured Data

Towards A Ubiquitous 3D Open Resilient Network

Terahertz (THz) communication is an up-and-coming candidate technology for 6G, aiming to meet the stringent performance requirements of next-generation communications.

REMBRL is fundamental to theory and algorithms but the goal is also to test the robustness and sample efficiency of our proposed algorithms on standardized RL benchmarks, simulators, and environments.

This project establishes a national hub to advance and deploy large-scale generative AI models across text, image, and video modalities.

This project develops machine learning-driven optical network architectures to meet future demands for ultra-high capacity, resilience, and energy efficiency.

This project combines high-throughput parasite drug screening with advanced graph-based AI to accelerate drug discovery for Cryptosporidium.

This international programme explores the scientific foundations for achieving secure, distributed coalition intelligence across diverse defence networks.

This project unites UK academia and industry to create a national community advancing next-generation neuromorphic materials and energy-efficient AI hardware.