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

Environmental Sensors Catch More Data For A Greener World


Sensors to detect temperature, pressure, and gases, such as CO2, have been around for centuries. However, the latest devices can measure a growing list of substances and process the data in real-time. Likewise, single-use sensors to measure pH levels in water are well established, but the latest water sensors can be deployed all along the pipeline from source to processing to outlet or tap, sav... » read more

Limited by Power


AI is seen as a massive computation problem, but that is not the case, at least with the way that the problem is structured today. It is a data movement problem. This not only limits performance but represents most of the energy consumption. In addition, the industry spends most of its time and effort making small improvements that optimize aspects of the existing architecture, when what is ... » read more

AI Buildout Makes HPC Simulation More Challenging


Simulations of semiconductors and systems are becoming bigger, more complex, and increasingly necessary, mirroring everything that is happening to the hardware itself — particularly in AI data centers. The move beyond monolithic chips to multi-die assemblies now requires solving some thorny multi-physics challenges, such as thermal and power delivery, which are increasingly difficult to mo... » read more

Chiplets Vs. Soft IP: Different In Almost Every Way


Chiplets serve a similar function as the soft IP widely used in chips today, but the similarities end there. While both can speed time to market and enable design teams to focus limited resources where they can best be applied, the implementation, manufacturing, test, and long-term business requirements wrought by a chiplet marketplace would be very different. Soft IP (also known as RTL IP) ... » read more

Adaptive Test Gaining Ground For HPC And AI Chips


Adaptive test is starting to gain traction for high-performance computing and AI chips as test programs that rely on static limits and fixed test sequences reach their practical limits. The growing complexity of multi-die assemblies and power delivery, along with increased stresses, are forcing a shift toward real-time, data-driven optimization at the test cell. “It’s the same old pro... » read more

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