Efficient hardware architectures for accelerating deep neural networks: Survey
In the modern-day era of technology, a paradigm shift has been witnessed in the areas
involving applications of Artificial Intelligence (AI), Machine Learning (ML), and Deep …
involving applications of Artificial Intelligence (AI), Machine Learning (ML), and Deep …
Bringing AI to edge: From deep learning's perspective
Edge computing and artificial intelligence (AI), especially deep learning algorithms, are
gradually intersecting to build the novel system, namely edge intelligence. However, the …
gradually intersecting to build the novel system, namely edge intelligence. However, the …
Survey of machine learning accelerators
A Reuther, P Michaleas, M Jones… - 2020 IEEE high …, 2020 - ieeexplore.ieee.org
New machine learning accelerators are being announced and released each month for a
variety of applications from speech recognition, video object detection, assisted driving, and …
variety of applications from speech recognition, video object detection, assisted driving, and …
Hyperspectral image classification using CNN: Application to industrial food packaging
During food tray packaging, some contamination may exist due to the presence of undesired
objects. It is essential to detect anomalies during the packaging process in order to discard …
objects. It is essential to detect anomalies during the packaging process in order to discard …
Deep learning in electron microscopy
JM Ede - Machine Learning: Science and Technology, 2021 - iopscience.iop.org
Deep learning is transforming most areas of science and technology, including electron
microscopy. This review paper offers a practical perspective aimed at developers with …
microscopy. This review paper offers a practical perspective aimed at developers with …
A systematic literature review on hardware implementation of artificial intelligence algorithms
Artificial intelligence (AI) and machine learning (ML) tools play a significant role in the recent
evolution of smart systems. AI solutions are pushing towards a significant shift in many fields …
evolution of smart systems. AI solutions are pushing towards a significant shift in many fields …
A survey of fpga-based robotic computing
Recent researches on robotics have shown significant improvement, spanning from
algorithms, mechanics to hardware architectures. Robotics, including manipulators, legged …
algorithms, mechanics to hardware architectures. Robotics, including manipulators, legged …
Review of ASIC accelerators for deep neural network
Deep neural networks (DNNs) have become an essential tool in artificial intelligence, with a
wide range of applications such as computer vision, medical diagnosis, security, robotics …
wide range of applications such as computer vision, medical diagnosis, security, robotics …
A survey of domain-specific architectures for reinforcement learning
M Rothmann, M Porrmann - IEEE Access, 2022 - ieeexplore.ieee.org
Reinforcement learning algorithms have been very successful at solving sequential decision-
making problems in many different problem domains. However, their training is often time …
making problems in many different problem domains. However, their training is often time …
Zero-centered fixed-point quantization with iterative retraining for deep convolutional neural network-based object detectors
In the field of object detection, deep learning has greatly improved accuracy compared to
previous algorithms and has been used widely in recent years. However, object detection …
previous algorithms and has been used widely in recent years. However, object detection …