tag: generative AI

Preparing For An AI-Driven Future In Chips
By Ed Sperling - 01 Feb, 2024 - Comments: 0

Experts at the Table: Semiconductor Engineering sat down to discuss the impact of AI on semiconductor architectures, tools, and security, with Michael Kurniawan, business strategy manager at Accenture; Kaushal Vora, senior director and head of business acceleration and ecosystem at Renesas Electronics; Paul Karazuba, vice president of marketing at Expedera; and Chowdary Yanamadala, technology s... » read more

Why There Are Still No Commercial 3D-ICs
By Brian Bailey - 29 Jan, 2024 - Comments: 0

Building chips in three dimensions is drawing increased attention and investment, but so far there have been no announcements about commercial 3D-IC chips. There are some fundamental problems that must be overcome and new tools that need to be developed. In contrast, the semiconductor industry is becoming fairly comfortable with 2.5D integration, where individual dies are assembled on some k... » read more

How Is The Chip Industry Really Doing?
By Ed Sperling - 17 Jan, 2024 - Comments: 2

Throughout 2023, the general consensus among chip industry watchers was that IC sales were flat to down, fueled by market saturation for smart phones and PCs and excess inventory and capacity in DRAM and flash. But that doesn't tell the whole story, which is becoming highly nuanced and complicated. Unlike in the past, understanding how the chip industry is faring is no longer a simple math f... » read more

Reducing Power In Data Centers
By Ed Sperling - 16 Jan, 2024 - Comments: 0

The rollout of generative AI, coupled with more data in general, is requiring data centers to run servers harder and longer. That, in turn, is generating more heat and accelerating aging, and to ensure these systems continue working over their projected lifetimes, chipmakers are building extra margin into chips. That increases the amount of energy required to run and cool them, and it can short... » read more

Modeling Compute In Memory With Biological Efficiency
By Katherine Derbyshire - 19 Dec, 2023 - Comments: 0

The growing popularity of generative AI, which uses natural language to help users make sense of unstructured data, is forcing sweeping changes in how compute resources are designed and deployed. In a panel discussion on artificial intelligence at last week’s IEEE Electron Device Meeting, IBM’s Nicole Saulnier described it as a major breakthrough that should allow AI tools to assist huma... » read more

The Evolution Of Generative AI Up To The Model-Driven Era
By Steve Brown - 07 Dec, 2023 - Comments: 0

Generative AI has become a buzzword in 2023 with the explosive proliferation of ChatGPT and large language models (LLMs). This brought about a debate about which is trained on the largest number of parameters. It also expanded awareness of the broader training of models for specific applications. Therefore, it is unsurprising that an association has developed between the term “Generative AI�... » read more

Considerations For Accelerating On-Device Stable Diffusion Models
By Pat Donnelly - 30 Nov, 2023 - Comments: 0

One of the more powerful – and visually stunning – advances in generative AI has been the development of Stable Diffusion models. These models are used for image generation, image denoising, inpainting (reconstructing missing regions in an image), outpainting (generating new pixels that seamlessly extend an image's existing bounds), and bit diffusion. Stable Diffusion uses a type of dif... » read more

Applications Of Large Language Models For Industrial Chip Design (NVIDIA)
By Technical Paper Link - 10 Nov, 2023 - Comments: 0

A technical paper titled “ChipNeMo: Domain-Adapted LLMs for Chip Design” was published by researchers at NVIDIA. Abstract: "ChipNeMo aims to explore the applications of large language models (LLMs) for industrial chip design. Instead of directly deploying off-the-shelf commercial or open-source LLMs, we instead adopt the following domain adaptation techniques: custom tokenizers, domain-ad... » read more

Unlocking The Power Of Edge Computing With Large Language Models
By Paul Karazuba - 30 Oct, 2023 - Comments: 0

In recent years, Large Language Models (LLMs) have revolutionized the field of artificial intelligence, transforming how we interact with devices and the possibilities of what machines can achieve. These models have demonstrated remarkable natural language understanding and generation abilities, making them indispensable for various applications. However, LLMs are incredibly resource-intensi... » read more

AI For Circuit Design Quality, Productivity, And Advanced-Node Mapping
By Steve Brown - 26 Oct, 2023 - Comments: 0

The future of circuit design, encompassing analog, RF/5G, and custom electronic circuits, is set to be revolutionized by the integration of generative AI tools. These advanced tools will not only enhance the quality of designs and boost designer productivity but also facilitate the mapping of designs from older semiconductor process nodes to more advanced nodes such as 3nm and below. This blog ... » read more

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