When looking at the challenges facing mass AI adoption, infrastructure and integration are among their most important aspects. They were among the top limiting factors in a 2020 O’Rielly survey.
It is very exciting to see the increasing adoption of AI in edge applications in recent years and how the ecosystem is being built to further benefit from AI capabilities
Intelligent Video Analytics (IVA) have penetrated many applications across industry verticals. Starting from on-premises server-based capabilities, then becoming available on the cloud (relying on high-bandwidth connectivity) and, more recently, on
A good partnership is all about the added value. It highlights the strengths of each party, compensates for the weaker points and overall produces more value than what the two parties would produce individually.
Where do you see high-performance Edge AI making the most impact? Automotive autonomy and driver assistance (ADAS) immediately comes to mind. To make the roads safer we increasingly let technology
One of the challenges in building embedded AI applications is taking it from machine learning research environment all the way to a full application deployed on an embedded host in
Brick-and-mortar retail has been facing tough competition from eCommerce, with the COVID-19 tailwind reinforcing the growing transition from brick-and-mortar to eCommerce. Smart Retail technologies are helping physical stores compete against
Object detection is a fundamental computer vision task that classifies and localizes all the objects in an image. It is widely used in automotive, smart city, smart home, and industry