The development of flexible integrated circuits based on thin-film transistors
K Myny - Nature electronics, 2018 - nature.com
The use of thin-film transistors in liquid-crystal display applications was commercialized
about 30 years ago. The key advantages of thin-film transistor technologies compared with …
about 30 years ago. The key advantages of thin-film transistor technologies compared with …
Approximate computing survey, Part II: Application-specific & architectural approximation techniques and applications
The challenging deployment of compute-intensive applications from domains such as
Artificial Intelligence (AI) and Digital Signal Processing (DSP), forces the community of …
Artificial Intelligence (AI) and Digital Signal Processing (DSP), forces the community of …
Snafu: an ultra-low-power, energy-minimal cgra-generation framework and architecture
Ultra-low-power (ULP) devices are becoming pervasive, enabling many emerging sensing
applications. Energy-efficiency is paramount in these applications, as efficiency determines …
applications. Energy-efficiency is paramount in these applications, as efficiency determines …
{RAZOR}: A framework for post-deployment software debloating
Commodity software typically includes functionalities for a broad user population. However,
each individual user usually only needs a subset of the supported functionalities. The …
each individual user usually only needs a subset of the supported functionalities. The …
Cross-layer approximation for printed machine learning circuits
Printed electronics (PE) feature low non-recurring engineering costs and low per unit-area
fabrication costs, enabling thus extremely low-cost and on-demand hardware. Such low-cost …
fabrication costs, enabling thus extremely low-cost and on-demand hardware. Such low-cost …
Model-to-circuit cross-approximation for printed machine learning classifiers
Printed electronics (PEs) promises on-demand fabrication, low nonrecurring engineering
costs, and subcent fabrication costs. It also allows for high customization that would be …
costs, and subcent fabrication costs. It also allows for high customization that would be …
Co-design of approximate multilayer perceptron for ultra-resource constrained printed circuits
Printed Electronics (PE) exhibits on-demand, extremely low-cost hardware due to its additive
manufacturing process, enabling machine learning (ML) applications for domains that …
manufacturing process, enabling machine learning (ML) applications for domains that …
Evolutionary Approximation of Ternary Neurons for On-sensor Printed Neural Networks
V Mrazek, A Kokkinis, P Papanikolaou… - arxiv preprint arxiv …, 2024 - arxiv.org
Printed electronics offer ultra-low manufacturing costs and the potential for on-demand
fabrication of flexible hardware. However, significant intrinsic constraints stemming from their …
fabrication of flexible hardware. However, significant intrinsic constraints stemming from their …
Understanding energy efficiency in iot app executions
Billions of Internet-of-Things (IoT) devices such as sensors, actuators, computing units, etc.,
are connected to form IoT platforms. However, it is observed that such hardware platforms …
are connected to form IoT platforms. However, it is observed that such hardware platforms …
Architectural support for efficient large-scale automata processing
The Automata Processor (AP) accelerates applications from domains ranging from machine
learning to genomics. However, as a spatial architecture, it is unable to handle larger …
learning to genomics. However, as a spatial architecture, it is unable to handle larger …