The increasingly autonomous nature of vehicles is a major trending topic in the Automotive industry and, despite the challenges the industry faced during the pandemic, the disruptive technologies behind autonomous features have advanced dramatically in recent years. Earlier this year, McKinsey & Company issued a report on how advanced autonomous features in vehicles brings enormous growth potential not just for consumers or the manufacturers, but also to transform transportation and society ...
Read more...
We’ve published a couple blog posts exploring how support for AI-powered imaging systems in embedded devices operating at the network edge can benefit specific applications in smart factories and smart homes. But embedded vision can also benefit the retail customer experience.
Read more...
A new generation of AI-based edge computing applications demand a wide range of performance requirements. But how can developers build edge solutions that consume little power and occupy minimal footprint at low cost without compromising performance?
Read more...
The complexity of implementing intelligent Edge solutions is causing many issues for designers, including accommodating devices with new and legacy interfaces in a variety of applications. Some of these applications also require compute engines capable of processing data collected at low power and cost.
Read more...