tag: AI

Advanced Packaging Design For Heterogeneous Integration
By CP Hung - 18 Apr, 2024 - Comments: 0

As device scaling slows down, a key system functional integration technology is emerging: heterogeneous integration (HI). It leverages advanced packaging technology to achieve higher functional density and lower cost per function. With the continuous development of major semiconductor applications such as AI HPC, edge AI and autonomous electrical vehicles, traditional chips are transforming i... » read more

How AI 2.0 Will Shape The Memory Landscape
By Emma-Jane Crozier - 11 Apr, 2024 - Comments: 0

AI is such a big part of our lives that we don’t even think about it as “AI”; it’s simply normal life these days. If you’ve asked your home assistant for the weather, used a search engine, or been recommended something to watch today, then that’s all been AI discretely at work. While these AI-enabled applications represent notable advancements in incorporating intelligence into syst... » read more

MIPI In Next Generation Of AI IoT Devices At The Edge
By Ashraf Takla - 11 Apr, 2024 - Comments: 0

The history of data processing begins in the 1960s with centralized on-site mainframes that later evolved into distributed client servers. In the beginning of this century, centralized cloud computing became attractive and began to gain momentum, becoming one of the most popular computing tools today. In recent years however, we have seen an increase in the demand for processing at the edge or ... » read more

Hybrid Methodology To Extract Kinetic And Magnetic Inductances For Superconductor Technologies
By Siemens EDA - 10 Apr, 2024 - Comments: 0

Integrated circuits (ICs) using superconductors have emerged as the technology of choice for artificial intelligence (AI), data centers, and cloud computing. However, innovative technology requires equally innovative physical verification solutions to ensure that these superconductor ICs deliver the performance and reliability they promise. We introduce an innovative hybrid methodology to extra... » read more

New Strategies For Interpreting Data Variability
By Gregory Haley - 09 Apr, 2024 - Comments: 0

Every measurement counts at the nanoscopic scale of modern semiconductor processes, but with each new process node the number of measurements and the need for accuracy escalate dramatically. Petabytes of new data are being generated and used in every aspect of the manufacturing process for informed decision-making, process optimization, and the continuous pursuit of quality and yield. Most f... » read more

Paradigms Of Large Language Model Applications In Functional Verification
By Siemens EDA - 03 Apr, 2024 - Comments: 0

This paper presents a comprehensive literature review for applying large language models (LLM) in multiple aspects of functional verification. Despite the promising advancements offered by this new technology, it is essential to be aware of the inherent limitations of LLMs, especially hallucination that may lead to incorrect predictions. To ensure the quality of LLM outputs, four safeguarding p... » read more

Cache Coherency In Heterogeneous Systems
By Ed Sperling - 01 Apr, 2024 - Comments: 0

Until recently, coherency was something normally associated with DRAM. But as chip designs become increasingly heterogeneous, incorporating more and different types of compute elements, it becomes harder to maintain coherency in that data without taking a significant hit on performance and power. The basic problem is that not all compute elements fetch and share data at the same speed, and syst... » read more

The Data Crisis Is Unfolding — Are We Ready?
By Alphawave Semi - 27 Mar, 2024 - Comments: 0

The rapid advancement of technology has led to an unprecedented amount of data being generated, captured, and consumed globally. However, this reliance on data comes at a considerable cost. The widespread sharing and processing of data is necessary to navigate our everyday lives. Still, any disruption to this process can have severe consequences, threatening our ability to function as a society... » read more

Designing AI Hardware To Deal With Increasingly Challenging Memory Wall (UC Berkeley)
By Technical Paper Link - 25 Mar, 2024 - Comments: 0

A new technical paper titled "AI and Memory Wall" was published by researchers at UC Berkeley, ICSI, and LBNL. Abstract "The availability of unprecedented unsupervised training data, along with neural scaling laws, has resulted in an unprecedented surge in model size and compute requirements for serving/training LLMs. However, the main performance bottleneck is increasingly shifting to memo... » read more

The Implications Of AI Everywhere: From Data Center To Edge
By Emma-Jane Crozier - 14 Mar, 2024 - Comments: 0

Generative AI has upped the ante on the transformative force of AI, driving profound implications across all aspects of our everyday lives. Over the past year, we have seen AI capabilities placed firmly in the hands of consumers. The recent news and product announcements emerging from MWC 2024 highlighted what we can expect to see from the next wave of generative AI applications. AI will be eve... » read more

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