Neuromorphic technologies

Within the department, groundbreaking work includes the development of technologies like memristor-based memory, which emulates the structure and function of neural networks. These advances significantly improve power efficiency and data processing speeds, paving the way for future devices that are faster, smarter, and more cost-effective.

Our efforts in neuromorphic engineering aim to transform computational paradigms, enabling revolutionary progress in fields such as robotics, AI, and real-time data analysis. This research holds the potential to drive efficiency and functionality in next-generation technologies, positioning the department at the forefront of this rapidly evolving discipline.

Explore related news, projects and case studies below.

News

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Projects

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Case studies

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More information

Some examples of colleagues primarily associated with this area of research include:

• Professor Tony Kenyon
• Dr Antonio Lombardo
• Dr Adnan Mahonic