TAIPEI, Taiwan--(BUSINESS WIRE)--According to TrendForce research, the global smart manufacturing market will reach US$620 billion by 2026. Amongst the new technologies used in the burgeoning smart ...

TAIPEI, Taiwan--(BUSINESS WIRE)--Rugged embedded computing brand – Cincoze continues to deepen its embedded computer range. Two newly launched industrial computers (P2202 Series and P1201), released ...

Cincoze has this week introduced their new compact embedded mini PC system in the form of the P1201 featuring a Intel Elkhart Lake Atom x6425E/x6211E Processor, a single DDR4 SO-DIMM slot, together ...

Designers of embedded products are constantly asked to think strategically and choose platforms that deliver both longevity and performance. Maximizing the use of engineering resources, cutting ...

Engineers searching for a smaller embedded computer that combines high performance with extended temperature operation may now have a solution. A new single-board computer offers an operating ...

Rugged edge computing brand—Cincoze has received a 2026 iF Design Award for the product design and application integration of the MD-3000 DIN-Rail embedded computer, part of the Machine Computing - ...

At the beginning of 2024, mobile process and platform giant Qualcomm Technologies set out its stall for the year regarding how it would use on-device artificial intelligence (AI) to drive success in a ...

Rugged embedded computer brand – Cincoze has launched two new series of GPU-embedded computers that overcome harsh environmental challenges, meet various application requirements, and provide ...

Today, rugged embedded computer brand Cincoze added the high-performance and essential DV-1000 rugged embedded computer series to its DIAMOND product line. The DV-1000 is a high-performance embedded ...

It is not always easy to tell a book by its cover, and Computers as Components: Principles of Embedded Computer Design by Wayne Wolf fits into this category. The title alludes to a component-based ...

Wide range of congatec modules support for computationally powerful, energy-efficient embedded AI applications SAN DIEGO, CA, UNITED STATES, January 9, 2026 ...