neural networks


January 7, 2019

Ceva extends control-oriented DSP

Ceva has followed its IoT-oriented Ceva-X series of processor cores with a more powerful family that is designed to handle control and signal-processing algorithms using the same pipeline.
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January 5, 2018

Ceva dedicates hardware to deep learning

Ceva has developed its first processor architecture aimed squarely at deep learning.
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May 29, 2017

ARM extends top end of Cortex-A family

A year on from the last Computex and the launch of the Cortex-A73 and Mali-G71, ARM has launched a new trio of processors aimed not just at smartphones this time but servers and driver-assistance systems.
May 1, 2017

Cadence tunes fixed-point DSP for neural networks

Cadence has stripped out some of the image-processing functions of the Vision P6 and boosted the number of execution units to build a DSP aimed at deep learning.
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September 27, 2016

Ceva adds hardware to speed up deep learning

Ceva has launched the fifth generation of its vision-oriented DSP core family with an architecture tuned for the fast-growing area of convolutional neural networks and deep learning.
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May 30, 2016

ARM aims for top-end phones with core pairing

ARM is combining a new high-end 64bit Cortex-A core with a reworked Mali graphics processor to support high-throughput applications such as virtual reality and machine learning.
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May 3, 2016

Cadence boosts MAC count for neural networks

Cadence Design Systems has increased the throughput of its vision-oriented DSP family to cater for deep-learning applications.
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October 6, 2015

Tensilica vision processor cuts power through memory changes

Memory efficiency has driven the design of the latest video and image processor core developed by Cadence Tensilica.

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