neural networks

Ceva has employed a more extensive form of weight compression in its latest generation of DNN processor cores.

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.

Ceva has developed its first processor architecture aimed squarely at deep learning.

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.

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.

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.

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.

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

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