Low rank matrix compression
In an example, an apparatus comprises logic, at least partially including hardware logic, to
implement a lossy compression algorithm which utilizes a data transform and quantization …
implement a lossy compression algorithm which utilizes a data transform and quantization …
Neuromorphic device and neuromorphic system including the same
A neuromorphic device includes a neuron block, a spike transmission circuit and a spike
reception circuit. The neuron block includes a plurality of neurons connected by a plurality of …
reception circuit. The neuron block includes a plurality of neurons connected by a plurality of …
Fast and accurate machine learning by applying efficient preconditioner to kernel ridge regression
Accelerated machine learning using an efficient preconditioner for Kernel Ridge Regression
(KRR). A plurality of anchor points may be selected by: projecting an initial kernel onto a …
(KRR). A plurality of anchor points may be selected by: projecting an initial kernel onto a …
Low rank matrix compression
H04N19/42—Methods or arrangements for coding, decoding, compressing or
decompressing digital video signals characterised by implementation details or hardware …
decompressing digital video signals characterised by implementation details or hardware …
Low rank matrix compression
In an example, an apparatus comprises logic, at least partially including hardware logic, to
implement a lossy compression algorithm which utilizes a data transform and quantization …
implement a lossy compression algorithm which utilizes a data transform and quantization …
Digital circuits for evaluating neural engineering framework style neural networks
BJ Morcos, CD Eliasmith, NG Kapre - US Patent 11,537,856, 2022 - Google Patents
The present invention relates to the digital circuits for evaluating neural engineering
framework style neural networks. The digital circuits for evaluating neural engineering …
framework style neural networks. The digital circuits for evaluating neural engineering …