Peter's presentation at this conference in Snowbird, Utah is on Friday 8 August 2018. His presentation is followed by one from Masatoshi Ishii from IBM Research Japan (they both seem to be on the same topic).
Does this mean the FGPA version of the Akida architecture will be available at this time?
Peter Vane der Made
Introducing The Akida Spiking Neural Network Reconfigurable NeurSoc
Abstract
The Akida architecture is a progression of the SNAP64 technology that we developed 4 years ago. The SNAP64 was a test chip, containing 4 blocks of 64 neurons with 256 synapses each – a total of 65536 synapses. The BrainChip Akida chip and development board are offering a flexible architecture, a Neuromorphic System on a Chip that contains many components that are useful in practical applications, such as convolution blocks, max pooling, programmable spike generators (Gaussian Receptive Fields) for data conversion, local ARM processor, several interface busses, and video frame to spike converters in addition to a large ‘fabric’ of convolutional and fully connected, autonomously learning spiking neurons
http://www.mpsoc-forum.org/speakers/page/Peter_Made.html
Masatoshi Ishii IBM Research Japan
NVM Neuromorphic Core with on-chip learning capability
Abstract
Von Neumann architecture has driven exponential improvements in computing system performance for more than five decades. However, as device dimension is getting closer to physical limit and 'Von Neumann bottleneck' has become problematic, hardware processors for 'neuromorphic computing' are gaining significant interest and expected to play a key role in future computing systems. Dense non-volatile memory array is one of the most attractive solutions for neuromorphic computing architecture since the device density can be potentially as high as 4F2 area per memory cell, analog synaptic weights can be stored into one cell and parallel matrix-vector multiplication can be also implemented efficiently in an analog fashion. In this talk, spike-based neuromorphic core using phase change memory as synapses will be mainly discussed.
http://www.mpsoc-forum.org/speakers/page/Masatoshi_Ishii.html
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