The basic principles used for neural networks have been understood for decades, what have changed to make them so successful in recent years are increased processing power, storage and training data. Layered on top of this is continued improvement in algorithms, often enabled by dramatic hardware performance improvements.… Read More
Tag: object recognition
DSP-Based Neural Nets
You may be under the impression that anything to do with neural nets necessarily runs on a GPU. After all, NVIDIA dominates a lot of what we hear in this area, and rightly so. In neural net training, their solutions are well established. However, GPUs tend to consume a lot of power and are not necessarily optimal in inference performance… Read More
Computer Vision in Mobile SoCs and the Making of Third Processor after CPU and GPU
Qualcomm’s teaser of its upcoming Snapdragon 820 system-on-chip (SoC) was supposed to make up for the issues like overheating and bad press that haunted its predecessor Snapdragon 810. Instead, the San Diego, California–based semiconductor giant chose to show off the GPU and image processing muscle. Especially, its… Read More