Dr. Tinoosh Mohsenin, Dr. Nikil Dutt, Dr. Farshad Firouzi, and AutoPNN's Principal Investigator, Dr. Georgios Zervakis.
AutoPNN's Principal Investigator, Dr. Georgios Zervakis with Synopsys Chief Architect and Fellow, Dr. Yervant Zorian
LBR: Energy-Efficient Printed Machine Learning Classifiers with Sequential SVMs
Presenter: Georgios Zervakis
Approximate computing in neural networks
Presenter: Mrazek Vojtech
Printed Computing: Design Automation and Computing based on Additive Printed Electronics
Presenter: Mehdi B. Tahoori
Bespoke Approximation of Multiplication-Accumulation and Activation Targeting Printed Multilayer Perceptrons.
Presenter: Florentia Afentaki
Embedding Hardware Approximations in Discrete Genetic-based Training for Printed MLPs.
On-sensor Printed Machine Learning Classification via Bespoke ADC and Decision Tree Co-Design.
Presenter: Giorgos Armeniakos
