Annual Global IC Fabs And Facilities Report


Semiconductor companies announced a significant number of facilities in 2025 as global onshoring efforts continued across manufacturing, materials, packaging, design, and R&D. Investments came from both industry and government sources. Organizations worked together to solve current technology challenges, including soaring demand for AI chips and advanced memory, as well as complex applic... » read more

Cryogenic Etch: A Key Enabler Of 3D NAND


Increased storage needs at the edge and in the cloud are fueling rising demand for higher-capacity flash memory across multiple applications. Released every 12 to 18 months, 3D NAND scaling outpaces most other semiconductor devices in replacement rate and performance gains. With each new generation, NAND suppliers deliver 50% faster read/write speeds, 40% greater bit density, lower latency, ... » read more

Chip Industry’s Top Videos 2025


Rising complexity, new architectures, and AI's permeation of nearly everything left engineers struggling to keep up in 2025, as evidenced by this year's viewership numbers. Among the hottest topics were verification, agentic AI, DRAM/HBM, optimization of data movement, chiplets, and heterogeneous integration, but there was steady traffic growth across all sectors. Top 10 most-watched videos ... » read more

When To Move To Multi-Die Assemblies


As chip designs become larger and more complex, especially for AI and high-performance computing workloads, it's often not feasible to fit everything onto a single planar die. But determining when to move to a multi-die assembly isn't always straightforward. Multi-die approaches have some well-documented benefits. They allow designers to split functions across different dies, which can impro... » read more

2025 – A Year Of Change And Anticipation


2025 has certainly been a year of unexpected changes. These had a significant impact on the semiconductor industry and everything that supports it. Not all the changes have been bad, but flexibility has been a requirement for continued success or to make the most of an opportunity provided. Some industries, such as aerospace and defense, are seeing a significant boost around the world. Data ... » read more

Programmable Chips Evolve For Shifting Needs


ICs and SoCs are utilizing a range of processing elements that allow them to optimize current workloads while hedging their bets for the future. What used to be a simple choice between an ASIC, FPGA, or DSP, has evolved into a mix of processor types and architectures, including varying levels of programmability and customization. Speed is essential, but technology is evolving so quickly that... » read more

Reliability Risks Shift To The Materials Stack


The semiconductor industry’s push into 3D integration and large-format substrates has fundamentally changed the role of materials in packaging. What were once structural supports and electrical insulators have become critical performance limiters. Modern packages contain far more polymers, adhesives, advanced dielectrics, thermal materials, and composite laminates than previous generations... » read more

What’s Next for 2.5D Packaging?


Interposers and bridges, two of the key elements for interconnecting multiple chips and chiplets in an advanced package, are undergoing fundamental changes in how they're built and assembled. Interposers are becoming thicker and more complex, while bridges are being used to reduce the assembled cost. Both efforts are facing new challenges. Interposers are effectively platforms on which mu... » read more

Benefits And Limits Of Using ML For Materials Discovery


Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development. Whether the goal is to identify new applications for known materials or to design new molecules for a particular task, these tools help materials scientists find correlations in large data libraries. Still, machine learning tools are not magic. “Software tools are only as... » read more

AI Workloads at the Edge: Ensuring Performance, Privacy, and Security


Experts At The Table: Semiconductor Engineering gathered a group of experts to discuss why some AI workloads are better suited for on-device processing to achieve consistent performance, avoid network connectivity issues, reduce cloud computing costs, and ensure privacy. The panel included Frank Ferro, group director in the Silicon Solutions Group at Cadence; Eduardo Montanez, vice president a... » read more

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