The AI Makers: NVIDIA Partners in UK Advance Physical and Agentic AI, Robotics, Life Sciences and More

The U.K. is driving investments in sovereign AI, using the technology to advance industries like manufacturing, life sciences and more.

During NVIDIA founder and CEO Jensen Huang's visit to the U.K. this week, NVIDIA highlighted how it is working with a broad ecosystem of AI makers across the nation on applications in physical and agentic AI, robotics and healthcare.

Such partner advancements support the U.K.'s AI Action Opportunities Plan, published earlier this year, which includes these key pillars:

Advancing the UK Technology Ecosystem Work to build the U.K.'s AI foundation has already begun, with support from the nation's rich research and startup ecosystem along with technology leaders.

Funded by U.K. Research and Innovation and built on NVIDIA Grace Hopper Superchips, Isambard-AI - the U.K.'s most powerful AI supercomputer based at the University of Bristol, which launched in July - is accelerating national projects including:

UK-LLM, a large language model project developed by University College London, Bangor University and NVIDIA. UK-LLM uses NVIDIA Nemotron reasoning models to support national languages like Welsh, as well as English, to improve public service delivery in sectors like healthcare and education.

Nightingale AI, a sovereign, multimodal health foundation model led by Imperial College London and trained on U.K. and US health data, which is designed to be used for numerous health applications including earlier diagnoses and personalized care.

PolluGen, a new high-resolution pollution dispersion model developed by the University of Manchester, using NVIDIA CorrDiff and Earth-2 Studio. The model can use regional health and other data to help inform citizens and policymakers of air-quality impacts.

The Ultrasound Foundation Model, led by researchers at Queen Mary University of London. The model is built for ultrasound imaging, focusing on rheumatoid arthritis patient analysis and creating a reproducible, publicly accessible AI model for medical imaging.

Gen Model in Ego-Sensed World, led by researchers at the University of Bristol, is analyzing visual data from more than 900 participants to train an AI model to better understand everyday tasks. The AI model could help predict future real-world interactions and support memory to aid independent living for dementia patients.

Electrostatics-aware foundation models, developed by researchers at the University of Cambridge in collaboration with NVIDIA. These are being trained as the first foundation models for atomic interactions that understand electrostatics in chemistry at the atomic level. To do this, the researchers are using more than 200 million molecular and material structures from the OMOL and OMAT databases with NVIDIA's cuEquivariance library. The model will allow scientists to simulate materials and molecules that were previously too large or complex to handle.

In addition, SCAN - a technology solutions provider with a strong focus on community, education and innovation - is collaborating with NVIDIA to address the growing AI skills gap across the U.K. through NVIDIA Deep Learning Institute courses and SCAN Springboard U.K., a community-driven initiative designed to foster peer-to-peer learning, market awareness, and mass training in AI and specialized workloads.

AI for Robotics NVIDIA announced separately today it is collaborating with techUK, alongside educational autonomous systems leader Quanser and training provider QA, to strengthen the U.K.'s robotics and AI ecosystem.

NVIDIA is also working with other leading U.K. robotics leaders to advance industries with physical AI.

Extend Robotics is accelerating safe, scalable robot deployment in vehicle manufacturing by combining extended reality-based teleoperation and advanced training systems - powered by NVIDIA Jetson AGX Orin modules, the NVIDIA Isaac Lab framework and NVIDIA Isaac GR00T models - enabling rapid skill acquisition and boosting safety and productivity.

Humanoid is developing a modular humanoid robot called HMND 01 for general tasks in warehouses and retail spaces. The robot is designed for seamless integration with human environments.

Materials Innovation Factory at the University of Liverpool is using NVIDIA tools and libraries to train a foundations model to predict material properties, as well as train robot scientists using NVIDIA Jetson Orin Nano modules to test these hypotheses within a fully automated lab environment.

The National Robotarium, a U.K. hub for robotics innovation, is using NVIDIA robotics and AI frameworks to support cutting-edge, practical research and help early-stage robotics businesses grow.

Opteran is creating autonomy algorithms for robots that mirror how the brains of insects and animals process information, harnessing knowledge on 600 million years of evolution to make robotic systems as robust and efficient as nature.

Oxa is creating full-stack AI self-driving software for industrial and commercial fleets with the NVIDIA DRIVE platform. The software works in all weather and locations - even where GPS is unreliable. Through its collaboration with NVIDIA, Oxa is able to generate vast amounts of diverse and realistic synthetic data to support training and validation - significantly accelerating the development and deployment of its solutions.

Wayve is pioneering end-to-end deep learning for autonomous driving. Its next-generation AV2.0 Platform enables vehicles to quickly and safely adapt its driving intelligence to new, unseen environments without needing expensive sensors and high-definition maps.

AI for Life Sciences Many U.K.-based life sciences companies are using NVIDIA technologies to take an AI-first approach to drug discovery, simulating therapies and drug design to achieve faster treatment testing.

Basecamp Research's BaseData - a proprietary evolutionary da

LINK:	https://blogs.nvidia.com/blog/uk-partner-ecosystem-ai-makers/...
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