AI at the Edge is making robotics, vision, and edge AI applications faster and more efficient than ever. As these intelligent workloads move closer to where data is generated, they also drive greater demand for reliable, resilient computing platforms capable of operating across increasingly diverse and demanding edge environments.

Real-time AI applications at the Edge are the leading drivers of innovation for industrial automation and manufacturing in the smart factories of today and tomorrow.

Hello Embedded Professionals, Engineers, and Developers! Welcome to In Case You Missed it, the weekly news show all about Embedded technologies and solutions from Embedded Computing Design, this time coming to you LIVE from COMPUTEX 2026!

Hello Embedded Professionals, Engineers, and Developers! Welcome to In Case You Missed it, the weekly news show all about Embedded technologies and solutions from Embedded Computing Design.

Advantech will attend NVIDIA GTC 2026 from March 16–19 in San Jose, California. The company will be in Booth #1134 and Meeting Rooms #6077 and #6078 where it will highlight and discuss its edge AI innovations powered by NVIDIA Jetson Thor and NVIDIA IGX Thor. Exhibit features will include how physical AI and edge AI are supporting real-world deployments across robotics, medical systems, smart logistics, and intelligent retail environments.

Edge AI is no longer for just the tech giants with bottomless pockets. Balancing hardware performance with software optimization and robust ecosystem support with the help of powerful AI applications is now achievable for organizations of any size. And the benefits of successful Edge AI integration are many, enabling these enterprises to achieve short-term results while setting a solid foundation for long-term growth.

 Top ten features posted during 2025 based on reader data.