TCAD-Based AI Models For Modern Fab Workflows


The relentless pace of semiconductor development continues unabated. Despite the slowdown in Moore’s law, feature sizes continue to shrink as new geometries come online. Constant innovations in both fab processes and device design offer new opportunities but present new challenges. As in so many other areas of electronics, artificial intelligence (AI) is starting to play a significant role. ... » read more

AI And Semiconductor In Reciprocity


In today’s rapidly advancing technological era, AI has become a powerful catalyst for innovation and progress. Advanced semiconductor packaging plays a crucial role in supporting AI development, while AI applications create new semiconductor demands and drive the development of semiconductor technologies, with both complementing each other. Semiconductor packaging: The bridge between chip an... » read more

Sustainable AI Systems For Energy-Efficient Computing


By Pushkar Apte, Jim Sexton, and Melissa Grupen-Shemansky The world is abuzz with the new opportunities being created by artificial intelligence (AI), enabled by the availability of unprecedented amounts of data. AI runs on the semiconductor engine, and in turn, creates a rising demand for semiconductor chips. The semiconductor industry is predicted to reach $1 trillion in revenue by 2030 ... » read more

Optimizing Data Movement In SoCs And Advanced Packages


The amount of data that needs to move around a chip is growing exponentially, driven by the rollout of AI and more sensors everywhere. There may be hundreds of IP blocks, more compute elements, and many more wires to contend with. Andy Nightingale, vice president of product management and marketing at Arteris, talks about the demand for low-latency on-chip communication in increasingly complex ... » read more

GPU Or ASIC For LLM Scale-Up?


The CEOs of OpenAI, Anthropic, and xAI share a strikingly similar vision — AI's progress is exponential, it will change humanity, and its impact will be greater than most people expect. This is more than just speculation. The market for AI, and its value, are real today: A human developer with GitHub CoPilot codes 55% faster with AI. GPT-4 scores 88th percentile on the LSAT vs. 50t... » read more

New Data Center Protocols Tackle AI


Compute nodes in AI and HPC data centers increasingly need to reach out beyond the chip or package for additional resources to process growing workloads. They may commandeer other nodes in a rack (scale-up) or employ resources in other racks (scale-out). The problem is there currently is no open scale-up protocol. So far this task has been dominated by proprietary protocols, because much of ... » read more

Fulfilling 3D-IC Trade-Off Analyses (And Benefits) With An AI Assist


As we walk around with supercomputers in our pockets and work at desks on even more powerful supercomputers, a lot of processing has moved to the cloud. As a politician described, this can be problematic on a day when there are no clouds in the sky. The world discovered the truth of those words when Crowdstrike struck on July 19, 2024. System designers who spent years balancing power, performan... » read more

No Fooling With Voxel Pooling


A variety of new and complicated transformer models have emerged in the past 18 to 24 months as new “must have” networks in advanced automotive use cases. These novel architectures often introduce new network operators or novel ways of combining tensors – often from different types of sensors – in ways to enhance detection and recognition of objects in L3 / L4 / L5 ADAS and autonomous d... » read more

AI Semiconductors Require An Integrated Test Solution


The rapid proliferation of generative pre-trained transformers based on large language models (LLMs) is driving growth in the market for chips that can run the LLMs and other artificial intelligence (AI) and machine learning (ML) applications. Several types of chips hold promise for accelerating AI computing. Graphical processing units (GPUs) have proven to be capable solutions for the server/c... » read more

Three Key Reasons That The Future Of Smart Home Devices Is Embedded Contextual AI


Artificial intelligence has become a transformative force, reshaping how consumers interact with technology. Consumer-level AI tools like ChatGPT have set new benchmarks for smart home devices, raising expectations for seamless functionality, natural language interactions, and personalized user experiences. As consumers demand smarter, more intuitive devices, embedded engineers and system engin... » read more

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