Commissariat &#xc0; L'&#xc9;nergie Atomique Et Aux &#xc9;nergies Alternatives

David Briand

Olivier Bichler

Vincent Lorrain

Johannes Christian Thiele

An electronic calculator comprises a plurality of electronic calculation blocks, each of which is configured to implement one or more respective processing layers of an artificial neural network. The calculation blocks are of at least two different types among: a first type with fixed topology, fixed operation, and fixed parameters, a second type with fixed topology, fixed operation, and modifiable parameters, and a third type with modifiable topology, modifiable operation, and modifiable parameters. For each processing layer implemented by the respective calculation block, the topology is a connection topology for each artificial neuron, the operation is a type of processing to be performed for each artificial neuron, and the parameters include values determined via training of the neural network.

Electronic calculator for the implementation of an artificial neural network, with calculation blocks of several types

A memory circuit for storing parsimonious data and intended to receive an input vector of size Iz, includes an encoder, a memory block comprising a first memory region and a second memory region divided into a number Iz of FIFO memories, each FIFO memory being associated with one component of the input vector, only non-zero data being saved in the FIFO memories, a decoder, the encoder being configured to generate an indicator of non-zero data for each component of the input vector, the memory circuit being configured to write the non-zero data of the input data vector to the respective FIFO memories and to write the indicator of non-zero data to the first memory region, the decoder being configured to read the outputs of the FIFO memories and the associated indicator in the first memory region.

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Gif Sur Yvette, France

David Briand