Capturing Knowledge Within LLMs


At DAC this year, there was a lot of talk about AI and the impact it is likely to have. While EDA companies have been using it for optimization and improving iteration loops within the flow, the end users have been concentrating on how to use it to improve the user interface between engineers and tools. The feedback is very positive. Large language models (LLMs) have been trained on a huge a... » read more

Will AI Disrupt EDA?


Generative AI has disrupted search, it is transforming the computing landscape, and now it's threatening to disrupt EDA. But despite the buzz and the broad pronouncements of radical changes ahead, it remains unclear where it will have impact and how deep any changes will be EDA has two primary roles — automation and optimization. Many of the optimization problems are NP hard, which means t... » read more

PCIe 7.0: Speed, Flexibility & Efficiency For The AI Era


As the industry came together for PCI-SIG DevCon last month, one thing took center stage, and that was PCI Express 7.0. While still in the final stages of development, the world is certainly ready for this significant new milestone of the PCIe specification. Let’s look at how PCIe 7.0 is poised to address the escalating demands of AI, high-performance computing, and emerging data-intensive ap... » read more

Chip Design Digs Deeper Into AI


Growing demand for blazing fast and extremely dense multi-chiplet systems are pushing chip design deeper into AI, which increasingly is viewed as the best solution for sifting through scores of possible configurations, constraints, and variables in the least amount of time. This shift has broad implications for the future of chip design. In the past, collaborations typically involved the chi... » read more

How To Successfully Deploy GenAI On Edge Devices


Generative AI (GenAI) burst onto the scene and into the public’s imagination with the launch of ChatGPT in late 2022. Users were amazed at the natural language processing chatbot’s ability to turn a short text prompt into coherent humanlike text including essays, language translations, and code examples. Technology companies – impressed with ChatGPT’s abilities – have started looking ... » read more

Will Domain-Specific ICs Become Ubiquitous?


Questions are surfacing for all types of design, ranging from small microcontrollers to leading-edge chips, over whether domain-specific design will become ubiquitous, or whether it will fall into the historic pattern of customization first, followed by lower-cost, general-purpose components. Custom hardware always has been a double-edged sword. It can provide a competitive edge for chipmake... » read more

Security For AI And AI For Security


The aspect for AI was drastically changed after the introduction of ChatGPT from 2022. Even during 2010s, the question of whether the evolution of AI can overcome human’s logical thinking had been researched and developed (e.g., IBM Watson and Google AlphaGo). Now, a few years later from these results, everyone can experience the future potential of AI from the advent of generative AI. Major ... » read more

Can Models Created With AI Be Trusted?


EDA models that are created using AI need to pass more stringent quality and cost benefit analysis compared to many AI applications in the broader industry. Money is hanging on the line if AI gets it wrong, and all the associated costs must be factored into the equation. Models are some of the most expensive things a development team can create, and it is important to understand the value th... » read more

The Data Crisis Is Unfolding — Are We Ready?


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

LLMs For EDA, HW Design and Security


A new technical paper titled "Hardware Phi-1.5B: A Large Language Model Encodes Hardware Domain Specific Knowledge" was published by researchers at Kansas State University, University of Science and Technology of China, Michigan Technological University, Washington University in St. Louis and Silicon Assurance. Abstract "In the rapidly evolving semiconductor industry, where research, design... » read more

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