When considering SoC architectures it is easy to become trapped in simple narratives. These assume the center of compute revolves around a central core or core cluster, typically Arm, more recently perhaps a RISC-V option. Throw in an accelerator or two and the rest is detail. But for today’s competitive products that view is a … Read More
Tag: neural net
Cadence Extends Tensilica Vision, AI Product Line
Vision pipelines, from image signal processing (ISP) through AI processing and fancy effects (super-resolution, Bokeh and others) has become fundamental to almost every aspect of the modern world. In automotive safety, robotics, drones, mobile applications and AR/VR, what we now consider essential we couldn’t do without… Read More
CEVA-BX: A Hybrid DSP and Controller
I’ve noticed hybrid solutions popping up recently (I’m reminded of NXP’s crossover MCU released in 2017). These are generally a fairly clear indicator that market needs are shifting; what once could be solved with an application processor or controller or DSP or whatever, now needs two (or more) of these. In performance/power/price-sensitive… Read More
Disturbances in the AI Force
In the normal evolution of specialized hardware IP functions, initial implementations start in academic research or R&D in big semiconductor companies, motivating new ventures specializing in functions of that type, who then either build critical mass to make it as a chip or IP supplier (such as Mobileye – intially)… Read More
Real Artificial Neurons
Neural nets are a hot topic these days and encourage us to think of solutions to complex tasks like image recognition in terms of how the human brain handles that task. But our model today for this neuromorphic computing is several steps removed from how neurons actually work. We’re still using conventional digital computation … Read More
Neural nets for Qualcomm Snapdragon
Neural nets are hot these days. In this forum certainly you can’t swing a cat without hitting multiple articles on the topic – I’ve written some myself. For me there are two reasons for this interest. First, neural nets are amazingly successful at what they do, for example in image recognition where they can beat… Read More