tag: AI

When Semiconductor Materials Misbehave
By Gregory Haley - 27 Apr, 2026 - Comments: 0

Key Takeaways Material behavior in production depends on the process context that no development environment can fully replicate. In advanced packaging, the interactions that cross domain boundaries are increasingly where failures originate. The most accurate materials data is also the most commercially sensitive, leaving simulation models calibrated against generic inputs rather tha... » read more

Can Edge AI Keep Up?
By Ann Mutschler - 23 Apr, 2026 - Comments: 0

Key Takeaways: Model development is outpacing silicon design cycles, so edge AI architectures must prioritize adaptability. The required cadence for model updates is highly application-dependent and is closely tied to product lifetime and operational risk. Adaptability can conflict with power, performance, and area targets, so effective heterogeneous architectures and robust softwa... » read more

Silicon Photonics Lights The Way To More Efficient Data Centers
By Katherine Derbyshire - 16 Apr, 2026 - Comments: 0

Key Takeaways Photonic interconnects potentially increase bandwidth density while significantly reducing power consumption. AI workloads are driving their adoption in data centers. On the other hand, photonic interconnects require a variety of different materials, introducing process compatibility and thermal and mechanical stress issues. Integrated electro-optical I/O modules are th... » read more

The Thermal And Power Realities Of The AI Era
By Rafael Tudela - 16 Apr, 2026 - Comments: 0

The rapid growth of AI has created a surge in the global energy consumption at a rate never seen before. Today, data centers account for approximately 415 terawatt-hours (TWh) of electricity globally. To put this into perspective, the annual energy consumption of the United Kingdom in 2023 measured at 309 TWh. The International Energy Agency (IEA) projects data centers’ energy consumption wil... » read more

AI Growing Impact On Chip Design And EDA Tools
By Ed Sperling - 15 Apr, 2026 - Comments: 0

Key Takeaways Many workflows in the data center are customer-specific, which is part of the reason there is so much interest in agentic AI-enabled tools. Large systems companies are pressing EDA vendors for performance improvements to keep pace with their AI workflows. The makeup of design teams is changing as AI infiltrates more of the chip design process. Experts at the Ta... » read more

The Smart Advantage: How Artificial Intelligence Is Transforming Inspection And Metrology In Semiconductor Manufacturing
By Charlie Zhu - 14 Apr, 2026 - Comments: 0

There is no doubt that the semiconductor industry is in an era of rapid and profound transformation, driven by an increasing demand for smaller, faster, and more powerful chips. As the speed of innovation continues to advance, so does the pressure on semiconductor manufacturers to detect and address defects and inconsistencies with near-perfect accuracy to keep pace with this demand. Manual ... » read more

Heterogeneous NPU Data Movement: What The Execution Flow Shows
By Steve Roddy - 14 Apr, 2026 - Comments: 0

Heterogeneous NPU designs bring together multiple specialized compute engines to support the range of operators required by modern AI models. This approach enables coverage across diverse workloads, but it also introduces a structural consequence: intermediate data must move between those engines. That movement consumes power, adds latency, and requires additional silicon resources, with effect... » read more

PCIe 8.0: Enabling The Next Generation Of High Bandwidth Systems
By Lou Ternullo - 09 Apr, 2026 - Comments: 0

As compute architectures evolve to support increasingly data‑intensive workloads, the role of high‑speed I/O has never been more critical. Artificial intelligence, high‑performance computing, hyperscale infrastructure, and advanced networking all depend on moving massive volumes of data efficiently, reliably, and at scale. The PCI‑SIG’s announcement of PCIe 8.0, which targets 256.0... » read more

Early HBM4 Validation Points The Way For Next Generation AI And HPC Systems
By Brett Murdock - 09 Apr, 2026 - Comments: 0

As AI and high‑performance computing systems continue to scale, memory bandwidth has emerged as a primary system‑level constraint. Larger models, higher compute density, and increasingly complex multi‑die designs are driving the need for memory interfaces that can deliver extreme bandwidth while operating within tight power and signal‑integrity margins. High‑Bandwidth Memory (HBM) has... » read more

The Coming Breakup Between AI And The Cloud
By Sharad Chole - 09 Apr, 2026 - Comments: 0

For a decade, cloud AI has felt inevitable. It powers our voice assistants, photo libraries, recommendation engines, and a growing list of “smart” features we barely notice anymore. Yet beneath the convenience is a fragile dependency: if your connection stutters, your intelligence does too.​ We rarely question this arrangement, but we should. As models grow larger and expectations grow... » read more

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