Martin Ferianc is a PhD candidate in the Department of Electronic and Electrical Engineering at University College London. His research interests include neural architecture search, Bayesian neural network, deep learning and hardware acceleration of neural networks. Martin has obtained an MEng in Electronic and Information Engineering from Imperial College London.
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PhD in Electornic and Electrical Engineering, 2019-
University College London
MEng in Electronic and Information Engineering, 2015-2019
Imperial College London
The main condition about any project and work that I do is that I do something novel. I am not interested in repeating solutions developed by the others, I am more interested in researching my own solutions. I am not afraid of reading papers and independently conducting research, I actually love it!
Probably not the first time you’re reading ‘Artificial Intelligence’ (AI). But hey, the buzzword is absolutely worth the hype. AI is bigger than recognizing cars or cats or road signs- think bigger. What about neural networks that can assemble themselves, and then adapt and learn from the assembly process?
Its not only about the technologies, but mainly about the people behind them. (Until FPGA driven robots povered by AI will be able to write code…) I am always excited to work in a team. Working with others generates new ideas, strengthens existing friendships and is just much more fun which can be shared, right?
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