Semiconductors Accelerate The Artificial Intelligence Revolution


By Ajit Manocha, Pushkar Apte, and Melissa Grupen-Shemansky Five years ago, SEMI published an article predicting that Artificial Intelligence (AI) would change everything – and it has! AI has moved out of labs and taken popular imagination by storm. It is now a hot topic of discussion everywhere, from family dining tables and corporate boardrooms to corridors of government. While it m... » read more

3D Integration Supports CIM Versatility And Accuracy


Compute-in-memory (CIM) is gaining attention due to its efficiency in limiting the movement of massive volumes of data, but it's not perfect. CIM modules can help reduce the cost of computation for AI workloads, and they can learn from the highly efficient approaches taken by biological brains. When it comes to versatility, scalability, and accuracy, however, significant tradeoffs are requir... » read more

Is Transformer Fever Fading?


The hottest, buzziest thing bursts onto the scene and captures the attention of the business press and even the general public. Scads of articles and videos are published about The Hot Thing. And then, in the blink of an eye, the world’s attention shifts to the Next New Thing! Are we talking about the latest pop song that leads the Spotify streaming charts? Perhaps a new fashion trend that... » read more

How Can You Use ChatGPT For Software Testing?


All eyes have been on OpenAI and its brainchild ChatGPT in recent months. ChatGPT’s ability to understand and respond to complex instructions and deliver detailed responses to user prompts has led to an explosive rise in its popularity with the public. If you were to search online for “ChatGPT tips,” you can find content to help you use the tool to tailor resumes to job postings, create... » read more

Glitch Power Issues Grow At Advanced Nodes


An estimated 20% to 40% of total power is being wasted due to glitch in some of the most advanced and complex chip designs, and at this point there is no single best approach for how and when to address it, and mixed information about how effective those solutions can be. Glitch power is not a new phenomenon. DSP architects and design engineers are well-versed in the power wasted by long, sl... » read more

Scaling Server Memory Performance To Meet The Demands Of AI


AI, whether we’re talking about the number of parameters used in training or the size of large language models (LLMs), continues to grow at a breathtaking rate. For over a decade, we’ve witnessed a 10X per year scaling. It’s a growth rate that puts pressure on every aspect of the computing stack: processing, memory, networking, you name it. The platform vendors are responding to the in... » read more

Getting Optimal PPA For HPC & AI Applications With Foundation IP


By Andrew Appleby, Xiaorui Hu, and Bhavana Chaurasia The demand for application-specific system-on-chips (SoCs) for compute applications is ever-increasing. Today, the diversity of requirements means there is a need for a rich set of compute solutions in a wide range of process technologies. The resulting products may have very different but demanding power, performance, and area (PPA) requi... » read more

Pressure Builds On Failure Analysis Labs


Failure analysis labs are becoming more fab-like, offering higher accuracy in locating failures and accelerating time-to-market of new devices. These labs historically have been used for deconstructing devices that failed during field use, known as return material authorizations (RMAs), but their role is expanding. They now are becoming instrumental in achieving first silicon and ramping yie... » read more

Unlocking Value: The Power of AI in Semiconductor Test


AI (Artificial Intelligence) and data analytics empower semiconductor manufacturers to extract valuable insights from the massive amounts of data generated throughout the silicon lifecycle. By leveraging AI algorithms, semiconductor manufacturers can optimize silicon design, assembly, and testing processes. Through the analysis of vast datasets, AI can identify patterns, predict failures, and o... » read more

SRAM’s Role In Emerging Memories


Experts at the Table — Part 3: Semiconductor Engineering sat down to talk about AI, the latest issues in SRAM, and the potential impact of new types of memory, with Tony Chan Carusone, CTO at Alphawave Semi; Steve Roddy, chief marketing officer at Quadric; and Jongsin Yun, memory technologist at Siemens EDA. What follows are excerpts of that conversation. Part one of this conversation can be ... » read more

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