Artificial intelligences are promising as key technologies in future societies. However, the conventional ones are executed using complicated software on high-specked hardware, and the machine size is very bulky and power consumption is unbelievably huge. Therefore, we are investigating braintype integrated system , namely, neural network built only by hardware, which can be compact, low power, robust, and integrated on everything in future. In order to realize that system, simplification of the processing elements, such as neurons and synapse, three-dimensional structure, and low cost fabrication are required. We have succeeded in that simplification and are trying to utilize oxide semiconductors for the neuromorphic application because t...
Neuromorphic computing is an attractive computation paradigm that complements the von Neumann archit...
Inspired by the working principles of the human brain, neuromorphic computing shows great potential ...
Compared to modern supercomputers, which consume roughly 10^6 W of power, the human brain requires o...
Artificial intelligences are essential concepts in smart societies, and neural networks are typical ...
Memristors are promising for neuromorphic computing, due to its low energy consumption and learning ...
This book aims to convey the most recent progress in hardware-driven neuromorphic systems based on s...
The explosive growth of data and information has motivated technological developments in computing s...
Neuromorphic engineering attempts to understand the computational properties of neural processing sy...
The state-of-the-art artificial intelligence technologies mainly rely on deep learning algorithms ba...
Continuous improvements in the VLSI domain have enabled the technology to mimic the neuro biological...
This work presents an analog neuromorphic synapse device consisting of two oxide semiconductor trans...
Neuromorphic computing is an attractive computation paradigm that complements the von Neumann archit...
The goal of neuromorphic engineering is to build electronic systems that mimic the ability of the br...
Neuromorphic computing is an emerging computing paradigm beyond the conventional digital von Neumann...
The traditional Boolean computing paradigm based on the von Neumann architecture is facing great cha...
Neuromorphic computing is an attractive computation paradigm that complements the von Neumann archit...
Inspired by the working principles of the human brain, neuromorphic computing shows great potential ...
Compared to modern supercomputers, which consume roughly 10^6 W of power, the human brain requires o...
Artificial intelligences are essential concepts in smart societies, and neural networks are typical ...
Memristors are promising for neuromorphic computing, due to its low energy consumption and learning ...
This book aims to convey the most recent progress in hardware-driven neuromorphic systems based on s...
The explosive growth of data and information has motivated technological developments in computing s...
Neuromorphic engineering attempts to understand the computational properties of neural processing sy...
The state-of-the-art artificial intelligence technologies mainly rely on deep learning algorithms ba...
Continuous improvements in the VLSI domain have enabled the technology to mimic the neuro biological...
This work presents an analog neuromorphic synapse device consisting of two oxide semiconductor trans...
Neuromorphic computing is an attractive computation paradigm that complements the von Neumann archit...
The goal of neuromorphic engineering is to build electronic systems that mimic the ability of the br...
Neuromorphic computing is an emerging computing paradigm beyond the conventional digital von Neumann...
The traditional Boolean computing paradigm based on the von Neumann architecture is facing great cha...
Neuromorphic computing is an attractive computation paradigm that complements the von Neumann archit...
Inspired by the working principles of the human brain, neuromorphic computing shows great potential ...
Compared to modern supercomputers, which consume roughly 10^6 W of power, the human brain requires o...