Embedded Workstations Drive Intelligent Autonomous Forklifts

Embedded Workstations Drive Intelligent Autonomous Forklifts

Forklifts, or motorized lifting trucks, have been around for about 100 years, first appearing around World War I. In the 1950s and 1960s, forklift technology advanced rapidly as the post-war economic boom drove demand for efficient material handling. Hydraulic lifting mechanisms became standard, increasing lifting capacity and precision. Safety features were added, addressing the risks associated with higher lifting and heavier loads. Read the blog.

Embedded Executive: Developing a Strategy To Manage Edge-to-Cloud Data, aicas

We are being bombarded with data; it’s coming at us from so many avenues, particularly as we move into the world of AI and the analytics that it brings.

The key to a proper edge-to-cloud strategy is being able to make sense of that plethora of data. That statement sounds obvious and simple, but it’s quite the opposite. If you don’t have the proper strategy in place, your design could be doomed before it even gets started.

To understand where to begin, and what path to take with the data strategy, I spoke to Johannes Biermann , the President and COO of aicas , who gives some guidelines for developers, on this this week’s?Embedded Executives podcast. Tune in.

AMobile’s AI-Powered System Redefines Home Protection

To accelerate consumer AI vision, AMobile Solutions has employed 联发科技 's IoT development platform leveraging the Genio 510 chipset delivering next-generation edge AI processing such as DLA (Deep Learning Accelerator) and VPU (Vision Processing Unit). Ideal applications include AI image analysis systems and intelligent security. Read more.

Embedded AI & Machine Learning, a property of Embedded Computing Design, is the leading source of “how-to” technical articles, videos, blogs, conferences, and podcasts for embedded engineers.? Topics covered include AI, AIoT, Machine Learning, Computing Vision, Security and more.

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