Ceva shares weights for lower DNN overhead
Ceva has employed a more extensive form of weight compression in its latest generation of DNN processor cores.
neural networks
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.
Ceva dedicates hardware to deep learning
Ceva has developed its first processor architecture aimed squarely at deep learning.
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.
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.
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.
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.
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.
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.