Artificial Intelligence

The SEMI white paper A Vision for Electronics Supply Chain Management examines the vital importance of the electronics supply chain, current supply chain challenges, and the criticality of transparency, collaboration, and information sharing to mitigate disruptions.

Despite its great promise to help streamline semiconductor manufacturing, AI has largely failed to deliver on its potential despite significant investments in data infrastructure and talent. Understanding the reasons behind this failure is a critical step towards unlocking AI and associated ROI.

Coming in the wake of the COP27, the Smart and Green Manufacturing Summit at SEMICON Europa 2022 (Munich, 15-17 November) had a timely focus on the semiconductor industry’s contribution to meeting the United Nations’ target of limiting global warming to 1.5°C above pre-industrial levels.

With the emergence of consolidation as a potent engine of semiconductor industry growth, global mergers and acquisitions are sweeping the industry as companies look to accelerate advances across segments including data centers, AI, IoT and automotive chips.

AI can potentially deliver the semiconductor industry operational gains of $85-$95 billion annually in earnings before interest by 2025. In reality, roughly 90% of this figure remains theoretical.

Dr. Prakash Narain, president and CEO of Real Intent and a member of the ESD Alliance Governing Council, recently offered insights on the vexing functional verification challenges that consume a significant portion of the chip design cycle.

Handel Jones, a well-known, longtime strategic analyst and commentator covering the semiconductor industry, authored the recently published book – When AI Rules The World: China, the U.S. and the Race to Control a Smart Planet. I spoke with Jones about the fascinating read.

For business leaders implementing AI projects, these hurdles can lead to frustration with poor results, excessive costs and delays, and even actual harm and lawsuits in extreme cases. Addressing these challenges is critical for realizing the full potential of AI.

Massive capacity expansions will necessarily integrate advanced Industry 4.0 standards, practices and technology to achieve the highest possible operational efficiency and performance at the start of volume production.

Founded in 2004, S2C’s worldwide customer base uses its desktop and enterprise field programmable gate array (FPGA) prototyping tools to verify system on chip (SoC) and application-specific integrated circuit (ASIC) designs will work as intended.