SemiWiki

Intel’s Tiny Bridges Could Lead to Very Big Paychecks

semiconductor

Intel’s Tiny Bridges Could Lead to Very Big Paychecks

Source: https://semiwiki.com/semiconductor-manufacturers/intel/375827-intels-tiny-bridges-could-lead-to-very-big-paychecks/ Intel’s next big opportunity could come from something that sounds spectacularly unglamorous: connecting tiny pieces of silicon. Advanced packaging rarely attracts the attention lavished on powerful processors or artificial intelligence models. Yet it increasingly determines how effectively those technologies perform. For Intel,

By Jeongwoo Heo
TSMC’s Patent and the Harsh Realities of 3D DRAM Competition

semiconductor

TSMC’s Patent and the Harsh Realities of 3D DRAM Competition

Source: https://semiwiki.com/semiconductor-manufacturers/375329-tsmcs-patent-and-the-harsh-realities-of-3d-dram-competition/ Discussions around TSMC’s vertical DRAM patents raise an intriguing question: could the world’s leading foundry eventually challenge established memory manufacturers? The curiosity is understandable. Patent disclosures involving vertical transistors and integrated capacitors show that TSMC is exploring architectures relevant to future memory

By Jeongwoo Heo
How AI is Reshaping Semiconductor Design and Manufacturing

semiconductor

How AI is Reshaping Semiconductor Design and Manufacturing

Source: https://semiwiki.com/semiconductor-manufacturers/intel/374862-how-ai-is-reshaping-semiconductor-design-and-manufacturing/ While AI is transforming nearly every industry, some of its most significant advances are happening inside the semiconductor factories building the chips that power it. If you design AI systems, those manufacturing advances directly influence your performance, efficiency, and path to market. AI가

By Jeongwoo Heo
ML-Based Power Models for CPUs. Innovation in Verification

semiconductor

ML-Based Power Models for CPUs. Innovation in Verification

Source: https://semiwiki.com/artificial-intelligence/375466-ml-based-power-models-for-cpus-innovation-in-verification/ An effective learned power model for a CPU could be a significant advantage in early estimation of power performance against realistic workloads in complex architectures. Paul Cunningham (GM, Verification at Cadence), Raúl Camposano (Silicon Catalyst, entrepreneur, former Synopsys CTO and lecturer at Stanford, EE292A)

By Jeongwoo Heo
From Metrology to Autonomy: Why Intel Foundry’s Manufacturing Roadmap Matters

semiconductor

From Metrology to Autonomy: Why Intel Foundry’s Manufacturing Roadmap Matters

Source: https://semiwiki.com/semiconductor-manufacturers/intel/375218-from-metrology-to-autonomy-why-intel-foundrys-manufacturing-roadmap-matters/ Semiconductor manufacturing has always depended on precise measurement. As devices become more complex and packaging integrates more components, however, measuring individual process steps is no longer enough. Manufacturers need to understand how decisions across fabrication, assembly, and test affect the finished product. Intel

By Jeongwoo Heo