We present an implementation of an analog Neural Network (NN) ASIC designed on a CMOS 0.35 μm process node, to be embedded in detector readout with ADC-less and FPGA-less processing.Computations are performed with 5-bit precision in charge domain, by means of charge sharing on programmable switched-capacitors crossbar arrays (which also implements network weights) and charge integration on low-power high-gain operational amplifiers. The NN memory is implemented with SRAM cells, programmed with SPI protocol, and timing events are synchronized with programmable on-chip ring counters driven by an external arbitrary clock. Full circuit simulation has been carried out to evaluate the ASIC performances. The estimated energy consumption to perform...
Recently, artificial intelligence (AI) systems gain an increasing popularity and their development i...
A versatile integrated circuit based on the Hamming artificial neural network (ANN) architecture is ...
Vita.The microelectronic implementation of neural networks has received widespread attention over th...
We propose an analog Neural Network ASIC where computations are implemented in 0.35-µm CMOS technolo...
International audienceEncoded neural networks mix the principles of associative memories and error-c...
With the advent of new technologies and advancement in medical science we are trying to process the ...
Nature has evolved highly advanced systems capable of performing complex computations, adoption and ...
We present the study of an analog hardware accelerator targeting the implementation of on-chip Neura...
Nature has evolved highly advanced systems capable of performing complex computations, adoption and ...
An ASIC analog chip which implements the basic computational primitives of a neural model with on-ch...
We present an analog ASIC implementing a neural network (NN) in charge domain for estimating the pos...
International audienceEncoded neural networks mix the principles of associative memories and error-c...
A board is described that contains the ANN A neural-network chip, and a DSP32C digital signal proces...
There are several possible hardware implementations of neural networks based either on digital, anal...
Abstract:There is various new & advance technologies in medical science we are trying to process...
Recently, artificial intelligence (AI) systems gain an increasing popularity and their development i...
A versatile integrated circuit based on the Hamming artificial neural network (ANN) architecture is ...
Vita.The microelectronic implementation of neural networks has received widespread attention over th...
We propose an analog Neural Network ASIC where computations are implemented in 0.35-µm CMOS technolo...
International audienceEncoded neural networks mix the principles of associative memories and error-c...
With the advent of new technologies and advancement in medical science we are trying to process the ...
Nature has evolved highly advanced systems capable of performing complex computations, adoption and ...
We present the study of an analog hardware accelerator targeting the implementation of on-chip Neura...
Nature has evolved highly advanced systems capable of performing complex computations, adoption and ...
An ASIC analog chip which implements the basic computational primitives of a neural model with on-ch...
We present an analog ASIC implementing a neural network (NN) in charge domain for estimating the pos...
International audienceEncoded neural networks mix the principles of associative memories and error-c...
A board is described that contains the ANN A neural-network chip, and a DSP32C digital signal proces...
There are several possible hardware implementations of neural networks based either on digital, anal...
Abstract:There is various new & advance technologies in medical science we are trying to process...
Recently, artificial intelligence (AI) systems gain an increasing popularity and their development i...
A versatile integrated circuit based on the Hamming artificial neural network (ANN) architecture is ...
Vita.The microelectronic implementation of neural networks has received widespread attention over th...