Add to ORKGTechnology scaling has driven computing devices to be faster, cheaper, and smaller while consuming less power in past decades. However, as technology scaling has become increasingly difficult in recent years, power has become the major constraint in performance, and thus, the improvement in the performance of mobile devices has begun to diminish. Moreover, emerging intelligent mobile systems are demanding increasing computing power. In light of this challenge associated with artificial intelligence, domain-specific architectures are widely believed to be the path to realizing considerable improvements in the efficiency, performance and cost of intelligent mobile systems. This thesis presents several algorithm, architecture and circuit co-op...
Convolutional Neural Networks impressed the world in 2012 by reaching state-of-the-art accuracy leve...
This electronic version was submitted by the student author. The certified thesis is available in th...
These days, working with deep neural networks goes hand in hand with the use of GPUs. Once a deep n...
Technology scaling has driven computing devices to be faster, cheaper, and smaller while consuming l...
Mobile vision is enabling many new applications such as face recognition and augmented reality. Howe...
Mobile vision is enabling many new applications such as face recognition and augmented reality. Howe...
We introduce a hybrid system composed of a convolutional neural network and a discrete graphical mod...
We introduce a hybrid system composed of a convolutional neural network and a discrete graphical mod...
Thesis (Ph.D.)--University of Washington, 2021Efficient hardware, increased computational power, an...
There has been an explosion of growth in the field of Machine Learning (ML) enabled by the widesprea...
There has been an explosion of growth in the field of Machine Learning (ML) enabled by the widesprea...
In recent years, deep learning (DL) and especially Convolutional Neural Networks (CNNs) have become ...
In recent years, deep learning (DL) and especially Convolutional Neural Networks (CNNs) have become ...
Machine learning algorithms based on convolutional neural networks (CNNs) have recently been explore...
These days, working with deep neural networks goes hand in hand with the use of GPUs. Once a deep ne...
Convolutional Neural Networks impressed the world in 2012 by reaching state-of-the-art accuracy leve...
This electronic version was submitted by the student author. The certified thesis is available in th...
These days, working with deep neural networks goes hand in hand with the use of GPUs. Once a deep n...
Technology scaling has driven computing devices to be faster, cheaper, and smaller while consuming l...
Mobile vision is enabling many new applications such as face recognition and augmented reality. Howe...
Mobile vision is enabling many new applications such as face recognition and augmented reality. Howe...
We introduce a hybrid system composed of a convolutional neural network and a discrete graphical mod...
We introduce a hybrid system composed of a convolutional neural network and a discrete graphical mod...
Thesis (Ph.D.)--University of Washington, 2021Efficient hardware, increased computational power, an...
There has been an explosion of growth in the field of Machine Learning (ML) enabled by the widesprea...
There has been an explosion of growth in the field of Machine Learning (ML) enabled by the widesprea...
In recent years, deep learning (DL) and especially Convolutional Neural Networks (CNNs) have become ...
In recent years, deep learning (DL) and especially Convolutional Neural Networks (CNNs) have become ...
Machine learning algorithms based on convolutional neural networks (CNNs) have recently been explore...
These days, working with deep neural networks goes hand in hand with the use of GPUs. Once a deep ne...
Convolutional Neural Networks impressed the world in 2012 by reaching state-of-the-art accuracy leve...
This electronic version was submitted by the student author. The certified thesis is available in th...
These days, working with deep neural networks goes hand in hand with the use of GPUs. Once a deep n...