Redefining SoC Design: The Shift To Secure Chiplet-Based Architectures


The semiconductor industry is undergoing a paradigm shift from monolithic system-on-chip (SoC) architectures to modular, chiplet-based designs. This transformation is driven by escalating design complexity, soaring fabrication costs, and the relentless pursuit of efficiency. However, as chiplet adoption accelerates, security becomes a critical concern, requiring robust measures to protect data,... » read more

EDA’s Top Execs Map Out An AI-Driven Future


Artificial intelligence is permeating the entire semiconductor ecosystem, forcing fundamental changes in AI chips, the design tools used to create them, and the methodologies used to ensure they will work reliably. This is a global race that will redefine nearly every domain over the next decade. In presentations and interviews over the past several months, top EDA executives converged on th... » read more

Power Delivery Challenges For AI Chips


As artificial intelligence (AI) workloads grow larger and more complex, the various processing elements being developed to process all that data are demanding unprecedented levels of power. But delivering this power efficiently and reliably, without degrading signal integrity or introducing thermal bottlenecks, has created some of the toughest design and manufacturing challenges in semiconducto... » read more

Can You Build A Known-Good Multi-Die System?


Semiconductor Engineering sat down to discuss the challenges of designing and testing multi-die systems, including how to ensure they will work as expected, with Bill Mullen, Ansys fellow; John Ferguson, senior director of product management at Siemens EDA; Chris Mueth, senior director of new markets and strategic initiatives at Keysight; Albert Zeng, senior engineering group director at Cadenc... » read more

The Coming NPU Population Collapse


At some point in everyone’s teenage years of schooling we were all taught in a nature or biology class about cycles of population surges and then inevitable population collapses. Whether the example was an animal, plant, insect or even bacteria, some external event triggers a rapid surge in the population of a species which leads to overpopulation and competition for resources (food, space, s... » read more

The Best DRAMs For Artificial Intelligence


Artificial intelligence (AI) involves intense computing and tons of data. The computing may be performed by CPUs, GPUs, or dedicated accelerators, and while the data travels through DRAM on its way to the processor, the best DRAM type for this purpose depends on the type of system that is performing the training or inference. The memory challenge facing engineering teams today is how to keep... » read more

The Data Dilemma In Semiconductor Testing And Why It Matters: Part 1


In today’s semiconductor industry, machine learning (ML) is no longer a buzzword — it’s an operational necessity. From optimizing test flows to identifying device drifts and executing advanced analytics like VMIN or trimming, ML-based applications are increasingly used to boost yields, improve quality, and lower test costs. But there’s a catch. To make these intelligent applications ... » read more

Multimodal AI For IoT Devices Requires A New Class Of MCU


The rise of AI-driven IoT devices is pushing the limits of today’s microcontroller unit (MCU) landscape. While AI-powered perception applications—such as voice, facial recognition, object detection, and gesture control—are becoming essential in everything from smart home devices to industrial automation, the hardware available to support them is not keeping pace. The challenge? The broad ... » read more

Boosting AI Performance With CXL


As AI applications rapidly advance, AI models are being tasked with processing massive amounts of data containing billions – or even trillions – of parameters. Each large workload involves numerous iterations for data comparison, predictive calculations, and parameter results updating during training. Hence, there is a constant demand for flexible memory expansion and memory sharing among d... » read more

Executive Outlook: Chiplets, 3D-ICs, and AI


Semiconductor Engineering sat down to discuss chiplets and the challenges of moving to 3D-ICs with Bill Mullen, Ansys fellow; John Ferguson, senior director of product management at Siemens EDA; Chris Mueth, senior director of new markets and strategic initiatives at Keysight; Albert Zeng, senior engineering group director at Cadence; Anand Thiruvengadam, senior director and head of AI product ... » read more

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