Last Updated on: 8th May 2024, 03:51 pm
Quantum-h, an agency at the forefront of emerging technologies, along with the University of Reading, is delighted to announce their successful bid for a grant from Innovate UK’s Accelerated Knowledge Transfer (AKT) programme. This award will fund an innovative project that aims to integrate advanced digital technologies within the Higher Education sector, with a particular focus on Artificial Intelligence for data mining in research applications.
The project is set to transform research methodologies by developing state-of-the-art technology that ensures the protection of research data and adheres to the highest ethical standards. This initiative, funded by the UK Government, is a prime example of the objectives of Innovate UK’s AKT programme to rapidly enhance innovation within academic and technological fields.
Quantum-h’s CEO, Leon Samuel, expressed his enthusiasm: “We are proud of this partnership with the University of Reading and Innovate UK to accelerate the adoption of emerging technologies. The potential of AI to transform the research landscape is immense and with this project, we aim to unlock innovative methodologies that are both impactful and ethically responsible.”
Marzia Briel-Barr, affiliated with the University of Reading’s School of Law, stated, “This collaboration with Quantum-h is testament to how Academia can contribute to the UK innovation and technology sector in a practical way. We are excited to see the outcomes of this project, especially that it will result in contributions that advance equitable and sustainable Open Science.”
Project Aims and Benefits:
- Innovative Technology Platform: The cornerstone of the project is the development of an AI-powered platform for enhanced data mining and analysis.
- Research Data Tracking & Monitoring: A thorough system for tracking and ensuring the protection of data integrity.
- Ethical AI Utilisation: A commitment to ethical AI use, aiming to establish norms for responsible research within the digital domain.
