Computation is at a crossroads
Exciting new developments around the Internet of Things, Big Data, autonomous vehicles, and Artificial Intelligence highlight how our approach to computation must fundamentally change.
Present-day computers are enormously successful at a huge range of tasks that require fast number-crunching. They are excellent, and getting better, at complex things like image recognition, autonomous decision-making, and interacting with humans in an intuitive way. We have seen remarkable achievements from modern Machine Learning systems. However, these achievements come with a very significant energy cost. While the human brain works happily on 20 Watts of power, modern Machine Learning systems can consume tens of kilowatts and only perform a fraction of the tasks our brains are capable of. This is largely because Machine Learning algorithms use conventional digital computers to simulate the analogue behaviour of biological systems.
If we are to develop the Internet of Things, autonomous systems and other exciting technologies relying on machine intelligence, we cannot do so using our exiting power-hungry approach
Silcon-based resistive random access memory technology has the potential to become the backbone for the next generation of computer memory
Intrinsic is a UCL spinout company, established to commercialise the novel memristive RRAM devices developed by Prof Tony Kenyon and Dr. Adnan Mehonic in UCL Electronic and Electrical Engineering.
The research that led to the demonstration of the RRAM devices was supported by EPSRC, UCL Business Proof of Concept funding. The team are also supported by UCL Technology Fund as recipients of funding through their Proof of Concept early stage investment.
Dr Vassilios Albanis – Business Manager, UCLB
Vassilios’ areas of responsibility within UCLB encompass opportunities arising the Department of Electronic and Electrical Engineering, Physics and Astronomy together with the London Centre for Nanotechnology.
Before joining UCLB, Vassilios worked as a technology due diligence consultant, evaluating technology concepts prior to their commercialisation and assisting in the development of commercialisation plans. Previous roles have included Senior Scientist in a successful biomedical imaging start up company, Senior Research Fellow for a European Research and Training Network and Senior Research Fellow in optoelectronics.
Vassilios brings extensive experience in prototype research and development, technology due diligence and technology transfer across a range of physical science and engineering areas to the UCLB team, complemented by a PhD in Laser Physics.
Professor Tony Kenyon – Chief Scientific Officer
Tony Kenyon is the Vice Dean (Research) for the Faculty of Engineering Sciences and Professor of Nanoelectronic & Nanophotonic Materials in the Department of Electronic & Electrical Engineering. His research interests include resistance switching; RRAM; neuromorphic devices; nanostructured materials for electronics and photonics; silicon photonics, and self-assembled nanoscale systems.
Professor Kenyon is a Fellow of both the Institute of Physics and the IET, a Senior Member of the IEEE, a member of the EPSRC ICT Strategic Advisory Team, and serves on the Executive Committee of the European Materials Research Society. He is the author of more than 100 peer-reviewed publications, and regularly gives invited talks at major international conferences.
Dr Adnan Mehonic – Chief Technical Officer
Adnan Mehonic is the Research Fellow of Royal Academy of Engineering at the Department of Electronic & Electrical Engineering, UCL. To date, he has authored more than 20 journal publications, a book chapter, and over 50 international conference proceedings (including five invited talks). His research includes RRAMs, novel hardware for machine learning, neuromorphic architectures and electronic nanomaterials. He has been a member of the technical programme committee for multiple international conferences, he serves as a reviewer for various materials, applied physics and engineering journals and he is frequently involved in reviewing international research grants.
He graduated in Electrical and Electronic Engineering from the University of Sarajevo, Bosnia in 2009 and was awarded the Golden Award Badge for the best student of the 2006-2009 cohort (~200 students). He received the MSc (Distinction) and PhD degrees in nanotechnology and electronic engineering from the University College London in 2010 and 2014, respectively, receiving the Oxford Instruments prize (the best MSc project) and being selected among the top 3 PhD graduated students in 2013/14 in E&E Department. In 2017, he has been awarded a highly prestigious 5-year Royal Academy of Engineering Research Fellowship (seven applicants are awarded annually from more than 130 applicants in the UK). He received the “One to Watch 2015” award from UCL Enterprise for UCL’s most innovative staff.