MICROIP Seeks To Accelerate Edge AI Adoption Through ‘Software-Driven Hardware’ Strategy
KATOWICE: MICROIP introduced its “Software-Driven Hardware” strategy during the European Economic Congress 2026 (EEC 2026) as part of efforts to accelerate Edge AI development and strengthen the ASIC supply chain in Europe.
MICROIP chairman James Yang said the approach is designed to help industries develop AI solutions that are more efficient, flexible and tailored to specific application requirements.
He made the remarks while participating in the Poland-Taiwan Economic Cooperation Forum alongside Taiwan ambassador to Poland Liu Yong-jian and HCG vice chairman Michael Chiu.
According to Dr. Yang, one of the key challenges in widespread AI adoption is the high cost of general-purpose chips and the difficulty of meeting diverse industrial application requirements.
He explained that the “Software-Driven Hardware” strategy enables silicon hardware development to be tailored according to real industrial needs in order to create systems with higher performance and lower energy consumption.
MICROIP combines mainstream chip platforms, low-power customised ASIC design technology (CATS) and the no-code AIVO platform to accelerate AI application development in a more accessible and cost-effective manner.
He said the approach has already been applied in areas including autonomous drone navigation systems without internet connectivity and smart city technologies that process data directly on devices to enhance security and user privacy.
The forum also highlighted the potential collaboration between Poland’s software expertise and Taiwan’s semiconductor strengths in building a stronger technology supply chain.
Michael Chiu said Poland holds strong potential to grow as a strategic partner for Taiwan in security technology and AI development across Europe.
Dr. Yang added that combining European technology talent with Taiwan’s hardware expertise could help position Poland as a regional hub for Edge AI and AIoT innovation.
MICROIP is also collaborating with its sister company Arculus EDA UK to provide electronic design automation (EDA) services aimed at accelerating ASIC development from research stages through to mass production.
He said the company will continue focusing on technology talent development and strengthening innovation ecosystems to support the growth of the global AI industry.
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