The University of Southampton

UKRI Centre for Doctoral Training in Machine Intelligence for Nano- Electronic Devices and Systems (MINDS)

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Great MINDS Think Differently

Our vision is grounded on the question: what needs to be addressed in order to take forward the current revolution in Artificial Intelligence? This revolution has been enabled by the availability of massive amounts of labelled data and significant increases in computational power. In applications from future autonomous vehicles to space systems and disaster response, however, data is generated at the network edge. It is not practical to simply ship data to cloud-based infrastructure for processing. Consequently, data is thrown away and its value lost. We need to push AI to the edge, but AI has a hardware problem with the end of Moore’s law and technologies hitting atomic scales. The problem is that algorithms and systems are not developed with hardware constraints in mind, and technologies and devices are often developed without considering software demands.

The Centre for Doctoral Training (CDT) in Machine Intelligence for Nano-Electronic Devices and Systems (MINDS) at the University of Southampton will develop and nurture the next generation of technology pioneers who will have the skills, assets and network to innovate at the Artificial Intelligence and Electronics interface to enable systems with beneficial human impact.

About Us

The MINDS cohort is based at the Highfield Campus at the University of Southampton, home to both the School of Electronics and Computer Science and the Zepler Institute.

Our Training

Research at the interface between Artificial Intelligence and Electronics requires us to think differently about the interdependencies between these disciplines, their underpinning mathematical, statistical and algorithmic techniques and device physics.

Our Research

We are jointly funded by EPSRC, Industry, Government agencies and the University of Southampton, and our research is focussed and our research themes reflect this.

Read MoreSmall number of studentships still available. Deadline for Applications 6th August 2019

 

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