The first description of ANN integrated circuit implements a continuous time analog circuit for AM. The design used a 22 x 22 matrix with 20,000 transistors, averaging 40 transistors per node to implement a Hopfield AM network. The design faced a scalability challenge at higher levels of integration. The paper advocates handling larger problems by a collection of smaller networks or hierarchical solutions, while predicting, “Significantly different connection technologies ” as essential for success in larger systems
Artificial Neural Network (ANN) is an information-processing paradigm that is inspired by the way bi...
Artificial neural networks are now being used for many applications in the technology world. Signal ...
Goser K, Hilleringmann U, Rückert U, Schumacher K. VLSI Technologies for Artificial Neural Networks....
Rapid advances in the semiconductor industry have provided the technologies for the implementation o...
Re-awaking in the 1980s from a rather chequered history Artificial Neural Networks (ANNs) have susta...
Analog VLSI circuits are being used successfully to implement Artificial Neural Networks (ANNs). The...
implemented as custom analog, digital or hybrid VLSI systems. This paper describes the tradeoffs amo...
There are several possible hardware implementations of neural networks based either on digital, anal...
Recently, artificial intelligence (AI) systems gain an increasing popularity and their development i...
The reason for this is easy hardware implementation and successful applications in Associative Memor...
Graduation date: 1989The brain has long attracted the interest of researchers. Some tasks, such as p...
International audienceEncoded neural networks mix the principles of associative memories and error-c...
Numerous efforts have been made in developing "intelligent" programs based on the Von Neum...
Abstract- This paper presents a new VLSI archi-tecture for ANNs based on the combination of digital ...
A neural network is designed using a multiple-input transconductance amplifier (MITA) and digital mu...
Artificial Neural Network (ANN) is an information-processing paradigm that is inspired by the way bi...
Artificial neural networks are now being used for many applications in the technology world. Signal ...
Goser K, Hilleringmann U, Rückert U, Schumacher K. VLSI Technologies for Artificial Neural Networks....
Rapid advances in the semiconductor industry have provided the technologies for the implementation o...
Re-awaking in the 1980s from a rather chequered history Artificial Neural Networks (ANNs) have susta...
Analog VLSI circuits are being used successfully to implement Artificial Neural Networks (ANNs). The...
implemented as custom analog, digital or hybrid VLSI systems. This paper describes the tradeoffs amo...
There are several possible hardware implementations of neural networks based either on digital, anal...
Recently, artificial intelligence (AI) systems gain an increasing popularity and their development i...
The reason for this is easy hardware implementation and successful applications in Associative Memor...
Graduation date: 1989The brain has long attracted the interest of researchers. Some tasks, such as p...
International audienceEncoded neural networks mix the principles of associative memories and error-c...
Numerous efforts have been made in developing "intelligent" programs based on the Von Neum...
Abstract- This paper presents a new VLSI archi-tecture for ANNs based on the combination of digital ...
A neural network is designed using a multiple-input transconductance amplifier (MITA) and digital mu...
Artificial Neural Network (ANN) is an information-processing paradigm that is inspired by the way bi...
Artificial neural networks are now being used for many applications in the technology world. Signal ...
Goser K, Hilleringmann U, Rückert U, Schumacher K. VLSI Technologies for Artificial Neural Networks....