[HTML][HTML] Recent advances in physical reservoir computing: A review
Reservoir computing is a computational framework suited for temporal/sequential data
processing. It is derived from several recurrent neural network models, including echo state …
processing. It is derived from several recurrent neural network models, including echo state …
Recent advances and future prospects for memristive materials, devices, and systems
Memristive technology has been rapidly emerging as a potential alternative to traditional
CMOS technology, which is facing fundamental limitations in its development. Since oxide …
CMOS technology, which is facing fundamental limitations in its development. Since oxide …
[PDF][PDF] Deep learning
I Goodfellow - 2016 - synapse.koreamed.org
An introduction to a broad range of topics in deep learning, covering mathematical and
conceptual background, deep learning techniques used in industry, and research …
conceptual background, deep learning techniques used in industry, and research …
Deep learning with coherent nanophotonic circuits
Artificial neural networks are computational network models inspired by signal processing in
the brain. These models have dramatically improved performance for many machine …
the brain. These models have dramatically improved performance for many machine …
Finn: A framework for fast, scalable binarized neural network inference
Research has shown that convolutional neural networks contain significant redundancy, and
high classification accuracy can be obtained even when weights and activations are …
high classification accuracy can be obtained even when weights and activations are …
[BOOK][B] Deep learning
Inventors have long dreamed of creating machines that think. Ancient Greek myths tell of
intelligent objects, such as animated statues of human beings and tables that arrive full of …
intelligent objects, such as animated statues of human beings and tables that arrive full of …
FPGA-based accelerators of deep learning networks for learning and classification: A review
Due to recent advances in digital technologies, and availability of credible data, an area of
artificial intelligence, deep learning, has emerged and has demonstrated its ability and …
artificial intelligence, deep learning, has emerged and has demonstrated its ability and …
Photonic machine learning with on-chip diffractive optics
Abstract Machine learning technologies have been extensively applied in high-performance
information-processing fields. However, the computation rate of existing hardware is …
information-processing fields. However, the computation rate of existing hardware is …
FINN-R An End-to-End Deep-Learning Framework for Fast Exploration of Quantized Neural Networks
Convolutional Neural Networks have rapidly become the most successful machine-learning
algorithm, enabling ubiquitous machine vision and intelligent decisions on even embedded …
algorithm, enabling ubiquitous machine vision and intelligent decisions on even embedded …
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 …