Up to £60 million in government funding is being split between new artificial intelligence research labs at Oxford and University College London, with a focused aim to drastically lower the computing costs associated with developing the technology. AI is currently used in hospitals for cancer screening, in the energy sector for battery design, and to accelerate drug discovery, demonstrating practical applications beyond theoretical potential. These two new labs will build upon this momentum, ensuring British innovation continues as the technology advances. “We are only just beginning to unlock AI’s huge potential to grow our economy and improve our public services,” said AI Minister Kanishka Narayan. “These new labs will lead in the fundamental work that is set to make AI cheaper, more practical and easier to adopt.”
£60 Million Investment Launches New AI Research Labs
The funding, channeled through the Engineering and Physical Sciences Research Council (EPSRC) under UK Research and Innovation (UKRI), will support the labs over the next six years and provide access to substantial computing power valued in the tens of millions of pounds. This commitment addresses a critical bottleneck in AI development: the high computational costs currently limiting broader access and innovation.
The Science of Fundamental AI Research (SOFAIR) Lab at UCL, led by Professor David Barber, will concentrate on developing open-source AI technologies designed to function on standard hardware, reducing reliance on a limited number of model providers and bolstering UK sovereignty in the field. “While current AI systems are impressive, many still suffer from basic issues such as inaccurate responses to questions.” Simultaneously, the British Open-ended Learning and Discovery (BOLD) Lab at Oxford, under Professor Jakob Foerster, will explore new paradigms for AI learning, focusing on efficiency, adaptability, and alignment with human needs.
Foerster asserts, “The UK cannot win the global AI race simply by trying to outspend the largest technology companies on data and compute. BOLD is about a different route: discovering fundamentally new ways to build AI that are more efficient, more open and better aligned with human needs.” This investment arrives as AI applications expand beyond theoretical potential, already impacting sectors like healthcare, energy, and pharmaceuticals, accelerating drug discovery. £2 million per lab is specifically designated for hiring at least ten doctoral students, fostering the growth of the UK’s AI talent pipeline and ensuring continued research capacity.
The UK is already one of the world’s leading nations in AI research. We are one of the few countries in the world with all the right ingredients, from a deep pool of top AI experts to world-class universities.
Charlotte Deane, Senior Responsible Owner for the UKRI AI Programme and Executive Chair of EPSRC
SOFAIR Lab Focuses on Open-Source AI Technologies
The current AI landscape is marked by a concentration of power within a handful of large technology companies, creating dependencies and limiting accessibility for smaller organizations and researchers. While AI applications are increasingly visible in sectors like healthcare and energy, fundamental limitations in cost and adaptability remain significant hurdles to wider deployment. This approach, diverging from reliance on centralized computing power, seeks to democratize access to advanced AI tools and foster greater innovation across the United Kingdom. Led by Professor David Barber, SOFAIR will draw upon expertise from computer science, mathematics, statistics, and neuroscience to explore novel AI system designs; the lab’s focus extends beyond simply improving existing models to fundamentally rethinking how AI systems are constructed. The lab will invest in cultivating the next generation of AI talent, earmarking £2 million specifically for the recruitment of at least ten doctoral students. By prioritizing fundamental research and open collaboration, SOFAIR hopes to unlock new avenues for AI development and ensure that the benefits of this transformative technology are widely shared, ultimately strengthening the UK’s sovereign capability in artificial intelligence.
We’re very excited that UCL will be the leading the new SOFAIR Lab. While current AI systems are impressive, many still suffer from basic issues such as inaccurate responses to questions.
BOLD Lab Redefines AI Learning and Adaptability
Unlike current AI development strategies focused on increasing computational power and data volume, BOLD Lab aims to fundamentally reshape how AI systems learn, prioritizing efficiency and adaptability. BOLD Lab’s research will concentrate on developing AI systems capable of learning more effectively from limited data and seamlessly adjusting to unforeseen circumstances. A key focus is enabling AI to navigate physical spaces and interact with the real world, moving beyond purely digital applications. This practical, human-centered approach intends to accelerate the translation of academic research into tangible tools for use in workplaces, infrastructure, and public services, thereby broadening AI adoption across the UK economy. The lab’s strategy centers on “new paradigms for learning,” aiming to secure the UK’s independent AI capability and ensure academic insights shape the future of the field. This commitment to talent development underscores the long-term vision for sustaining British innovation in the sector. Professor Charlotte Deane, Senior Responsible Owner for the UKRI AI Programme, highlights the UK’s existing strengths, stating that the six-year funding commitment, coupled with access to substantial computing resources, positions BOLD Lab to drive significant advancements in AI learning and adaptability, potentially redefining the landscape of the technology.
We are only just beginning to unlock AI’s huge potential to grow our economy and improve our public services.
UK Aims to Secure AI Leadership and Sovereignty
The United Kingdom is strategically investing in the future of artificial intelligence, not simply to participate in the global AI surge, but to establish a sovereign foundation for innovation and economic growth. This funding isn’t merely about scaling existing AI models; it’s about fundamentally rethinking how AI learns and operates, ensuring the UK isn’t solely dependent on external technology providers. Currently, AI applications are demonstrably impacting sectors like healthcare, where it aids in earlier cancer diagnoses, and energy, where it optimizes battery design and accelerates drug discovery, illustrating a practical impact extending beyond theoretical potential.
